icml2018.md

ICML2018

• Marc Abeille, Alessandro Lazaric. "Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems" | [Home Page] | [PDF]

• David Abel, Dilip Arumugam, Lucas Lehnert, Michael Littman. "State Abstractions for Lifelong Reinforcement Learning" | [Home Page] | [PDF]

• David Abel, Yuu Jinnai, Sophie Yue Guo, George Konidaris, Michael Littman. "Policy and Value Transfer in Lifelong Reinforcement Learning" | [Home Page] | [PDF]

• Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang. "INSPECTRE: Privately Estimating the Unseen" | [Home Page] | [PDF]

• Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas Guibas. "Learning Representations and Generative Models for 3D Point Clouds" | [Home Page] | [PDF]

• Tameem Adel, Zoubin Ghahramani, Adrian Weller. "Discovering Interpretable Representations for Both Deep Generative and Discriminative Models" | [Home Page] | [PDF]

• Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach. "A Reductions Approach to Fair Classification" | [Home Page] | [PDF]

• Arpit Agarwal, Prathamesh Patil, Shivani Agarwal. "Accelerated Spectral Ranking" | [Home Page] | [PDF]

• Amirali Aghazadeh, Ryan Spring, Daniel Lejeune, Gautam Dasarathy, Anshumali Shrivastava,  baraniuk. "MISSION: Ultra Large-Scale Feature Selection using Count-Sketches" | [Home Page] | [PDF]

• Raj Agrawal, Caroline Uhler, Tamara Broderick. "Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models" | [Home Page] | [PDF]

• Shipra Agrawal, Morteza Zadimoghaddam, Vahab Mirrokni. "Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy" | [Home Page] | [PDF]

• Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin. "Bucket Renormalization for Approximate Inference" | [Home Page] | [PDF]

• Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox. "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis" | [Home Page] | [PDF]

• Ahmed Alaa, Mihaela Schaar. "Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design" | [Home Page] | [PDF]

• Ahmed Alaa, Mihaela Schaar. "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning" | [Home Page] | [PDF]

• Ibrahim Alabdulmohsin. "Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization" | [Home Page] | [PDF]

• Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy. "Fixing a Broken ELBO" | [Home Page] | [PDF]

• Maryam Aliakbarpour, Ilias Diakonikolas, Ronitt Rubinfeld. "Differentially Private Identity and Equivalence Testing of Discrete Distributions" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu. "Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Sebastien Bubeck, Yuanzhi Li. "Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits" | [Home Page] | [PDF]

• Amjad Almahairi, Sai Rajeshwar, Alessandro Sordoni, Philip Bachman, Aaron Courville. "Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data" | [Home Page] | [PDF]

• Ron Amit, Ron Meir. "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory" | [Home Page] | [PDF]

• Matthew Amodio, Smita Krishnaswamy. "MAGAN: Aligning Biological Manifolds" | [Home Page] | [PDF]

• Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong. "Subspace Embedding and Linear Regression with Orlicz Norm" | [Home Page] | [PDF]

• Oleg Arenz, Gerhard Neumann, Mingjun Zhong. "Efficient Gradient-Free Variational Inference using Policy Search" | [Home Page] | [PDF]

• Sanjeev Arora, Nadav Cohen, Elad Hazan. "On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization" | [Home Page] | [PDF]

• Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang. "Stronger Generalization Bounds for Deep Nets via a Compression Approach" | [Home Page] | [PDF]

• Kavosh Asadi, Dipendra Misra, Michael Littman. "Lipschitz Continuity in Model-based Reinforcement Learning" | [Home Page] | [PDF]

• Anish Athalye, Nicholas Carlini, David Wagner. "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples" | [Home Page] | [PDF]

• Anish Athalye, Logan Engstrom, Andrew Ilyas, Kevin Kwok. "Synthesizing Robust Adversarial Examples" | [Home Page] | [PDF]

• Davide Bacciu, Federico Errica, Alessio Micheli. "Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing" | [Home Page] | [PDF]

• Wenruo Bai, Jeff Bilmes. "Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions" | [Home Page] | [PDF]

• Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gerard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli. "Comparing Dynamics: Deep Neural Networks versus Glassy Systems" | [Home Page] | [PDF]

• Chandrajit Bajaj, Tingran Gao, Zihang He, Qixing Huang, Zhenxiao Liang. "SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions" | [Home Page] | [PDF]

• Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst. "A Boo(n) for Evaluating Architecture Performance" | [Home Page] | [PDF]

• Maria-Florina Balcan, Travis Dick, Tuomas Sandholm, Ellen Vitercik. "Learning to Branch" | [Home Page] | [PDF]

• David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel. "The Mechanics of n-Player Differentiable Games" | [Home Page] | [PDF]

• Randall Balestriero, Romain Cosentino, Herve Glotin, Richard Baraniuk. "Spline Filters For End-to-End Deep Learning" | [Home Page] | [PDF]

• Randall Balestriero,  baraniuk. "A Spline Theory of Deep Learning" | [Home Page] | [PDF]

• Eric Balkanski, Yaron Singer. "Approximation Guarantees for Adaptive Sampling" | [Home Page] | [PDF]

• Borja Balle, Yu-Xiang Wang. "Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising" | [Home Page] | [PDF]

• Lukas Balles, Philipp Hennig. "Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients" | [Home Page] | [PDF]

• Matej Balog, Ilya Tolstikhin, Bernhard Schölkopf. "Differentially Private Database Release via Kernel Mean Embeddings" | [Home Page] | [PDF]

• Robert Bamler, Stephan Mandt. "Improving Optimization for Models With Continuous Symmetry Breaking" | [Home Page] | [PDF]

• Duhyeon Bang, Hyunjung Shim. "Improved Training of Generative Adversarial Networks Using Representative Features" | [Home Page] | [PDF]

• Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya. "Using Inherent Structures to design Lean 2-layer RBMs" | [Home Page] | [PDF]

• Han Bao, Gang Niu, Masashi Sugiyama. "Classification from Pairwise Similarity and Unlabeled Data" | [Home Page] | [PDF]

• Ricardo Baptista, Matthias Poloczek. "Bayesian Optimization of Combinatorial Structures" | [Home Page] | [PDF]

• Pierre Baque, Edoardo Remelli, Francois Fleuret, Pascal Fua. "Geodesic Convolutional Shape Optimization" | [Home Page] | [PDF]

• Eugenio Bargiacchi, Timothy Verstraeten, Diederik Roijers, Ann Nowé, Hado Hasselt. "Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems" | [Home Page] | [PDF]

• Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal. "Testing Sparsity over Known and Unknown Bases" | [Home Page] | [PDF]

• Andre Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel Mankowitz, Augustin Zidek, Remi Munos. "Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement" | [Home Page] | [PDF]

• David Barrett, Felix Hill, Adam Santoro, Ari Morcos, Timothy Lillicrap. "Measuring abstract reasoning in neural networks" | [Home Page] | [PDF]

• Peter Bartlett, Dave Helmbold, Philip Long. "Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks" | [Home Page] | [PDF]

• Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, Devon Hjelm. "Mutual Information Neural Estimation" | [Home Page] | [PDF]

• Mikhail Belkin, Siyuan Ma, Soumik Mandal. "To Understand Deep Learning We Need to Understand Kernel Learning" | [Home Page] | [PDF]

• Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc Le. "Understanding and Simplifying One-Shot Architecture Search" | [Home Page] | [PDF]

• Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Animashree Anandkumar. "signSGD: Compressed Optimisation for Non-Convex Problems" | [Home Page] | [PDF]

• Aditya Bhaskara, Maheshakya Wijewardena. "Distributed Clustering via LSH Based Data Partitioning" | [Home Page] | [PDF]

• Mikolaj Binkowski, Gautier Marti, Philippe Donnat. "Autoregressive Convolutional Neural Networks for Asynchronous Time Series" | [Home Page] | [PDF]

• Guy Blanc, Steffen Rendle. "Adaptive Sampled Softmax with Kernel Based Sampling" | [Home Page] | [PDF]

• Piotr Bojanowski, Armand Joulin, David Lopez-Pas, Arthur Szlam. "Optimizing the Latent Space of Generative Networks" | [Home Page] | [PDF]

• Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann. "NetGAN: Generating Graphs via Random Walks" | [Home Page] | [PDF]

• Raghu Bollapragada, Jorge Nocedal, Dheevatsa Mudigere, Hao-Jun Shi, Ping Tak Peter Tang. "A Progressive Batching L-BFGS Method for Machine Learning" | [Home Page] | [PDF]

• Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty. "Prediction Rule Reshaping" | [Home Page] | [PDF]

• Giacomo Boracchi, Diego Carrera, Cristiano Cervellera, Danilo Macciò. "QuantTree: Histograms for Change Detection in Multivariate Data Streams" | [Home Page] | [PDF]

• Vladimir Braverman, Stephen Chestnut, Robert Krauthgamer, Yi Li, David Woodruff, Lin Yang. "Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order" | [Home Page] | [PDF]

• Nataly Brukhim, Amir Globerson. "Predict and Constrain: Modeling Cardinality in Deep Structured Prediction" | [Home Page] | [PDF]

• Alexander Buchholz, Florian Wenzel, Stephan Mandt. "Quasi-Monte Carlo Variational Inference" | [Home Page] | [PDF]

• Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu. "Path-Level Network Transformation for Efficient Architecture Search" | [Home Page] | [PDF]

• Daniele Calandriello, Alessandro Lazaric, Ioannis Koutis, Michal Valko. "Improved large-scale graph learning through ridge spectral sparsification" | [Home Page] | [PDF]

• Trevor Campbell, Tamara Broderick. "Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent" | [Home Page] | [PDF]

• Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan. "Adversarial Learning with Local Coordinate Coding" | [Home Page] | [PDF]

• Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth Vishnoi. "Fair and Diverse DPP-Based Data Summarization" | [Home Page] | [PDF]

• Ciwan Ceylan, Michael U. Gutmann. "Conditional Noise-Contrastive Estimation of Unnormalised Models" | [Home Page] | [PDF]

• Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Goldstein, Lawrence Carin Duke, Ricardo Henao. "Adversarial Time-to-Event Modeling" | [Home Page] | [PDF]

• Zachary Charles, Dimitris Papailiopoulos. "Stability and Generalization of Learning Algorithms that Converge to Global Optima" | [Home Page] | [PDF]

• Satrajit Chatterjee. "Learning and Memorization" | [Home Page] | [PDF]

• Niladri Chatterji, Nicolas Flammarion, Yian Ma, Peter Bartlett, Michael Jordan. "On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo" | [Home Page] | [PDF]

• Vaggos Chatziafratis, Rad Niazadeh, Moses Charikar. "Hierarchical Clustering with Structural Constraints" | [Home Page] | [PDF]

• Zhengping Che, Sanjay Purushotham, Guangyu Li, Bo Jiang, Yan Liu. "Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series" | [Home Page] | [PDF]

• Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" | [Home Page] | [PDF]

• Lin Chen, Moran Feldman, Amin Karbasi. "Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?" | [Home Page] | [PDF]

• Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi. "Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity" | [Home Page] | [PDF]

• Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin Duke. "Continuous-Time Flows for Efficient Inference and Density Estimation" | [Home Page] | [PDF]

• Yichen Chen, Lihong Li, Mengdi Wang. "Scalable Bilinear Pi Learning Using State and Action Features" | [Home Page] | [PDF]

• Wilson Ye Chen, Lester Mackey, Jackson Gorham, Francois-Xavier Briol, Chris Oates. "Stein Points" | [Home Page] | [PDF]

• Ting Chen, Martin Renqiang Min, Yizhou Sun. "Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations" | [Home Page] | [PDF]

• XI Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel. "PixelSNAIL: An Improved Autoregressive Generative Model" | [Home Page] | [PDF]

• Minmin Chen, Jeffrey Pennington, Samuel Schoenholz. "Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks" | [Home Page] | [PDF]

• Jianbo Chen, Le Song, Martin Wainwright, Michael Jordan. "Learning to Explain: An Information-Theoretic Perspective on Model Interpretation" | [Home Page] | [PDF]

• Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin Duke. "Variational Inference and Model Selection with Generalized Evidence Bounds" | [Home Page] | [PDF]

• Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris Papailiopoulos. "DRACO: Byzantine-resilient Distributed Training via Redundant Gradients" | [Home Page] | [PDF]

• Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang. "SADAGRAD: Strongly Adaptive Stochastic Gradient Methods" | [Home Page] | [PDF]

• Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu. "Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization" | [Home Page] | [PDF]

• Di Chen, Yexiang Xue, Carla Gomes. "End-to-End Learning for the Deep Multivariate Probit Model" | [Home Page] | [PDF]

• Jianfei Chen, Jun Zhu, Le Song. "Stochastic Training of Graph Convolutional Networks with Variance Reduction" | [Home Page] | [PDF]

• Minhao Cheng, Ian Davidson, Cho-Jui Hsieh. "Extreme Learning to Rank via Low Rank Assumption" | [Home Page] | [PDF]

• Flavio Chierichetti, Ravi Kumar, Andrew Tomkins. "Learning a Mixture of Two Multinomial Logits" | [Home Page] | [PDF]

• Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard Turner, Adrian Weller. "Structured Evolution with Compact Architectures for Scalable Policy Optimization" | [Home Page] | [PDF]

• Yinlam Chow, Ofir Nachum, Mohammad Ghavamzadeh. "Path Consistency Learning in Tsallis Entropy Regularized MDPs" | [Home Page] | [PDF]

• Agniva Chowdhury, Jiasen Yang, Petros Drineas. "An Iterative, Sketching-based Framework for Ridge Regression" | [Home Page] | [PDF]

• Sebastian Claici, Edward Chien, Justin Solomon. "Stochastic Wasserstein Barycenters" | [Home Page] | [PDF]

• John Co-Reyes, YuXuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine. "Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings" | [Home Page] | [PDF]

• Michael Cohen, Jelena Diakonikolas, Lorenzo Orecchia. "On Acceleration with Noise-Corrupted Gradients" | [Home Page] | [PDF]

• Alon Cohen, Avinatan Hasidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar. "Online Linear Quadratic Control" | [Home Page] | [PDF]

• Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer. "GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms" | [Home Page] | [PDF]

• Dane Corneil, Wulfram Gerstner, Johanni Brea. "Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation" | [Home Page] | [PDF]

• Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang. "Online Learning with Abstention" | [Home Page] | [PDF]

• Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya Gupta, Jeff Bilmes. "Constrained Interacting Submodular Groupings" | [Home Page] | [PDF]

• Chris Cremer, Xuechen Li, David Duvenaud. "Inference Suboptimality in Variational Autoencoders" | [Home Page] | [PDF]

• Wojciech Czarnecki, Siddhant Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu. "Mix & Match Agent Curricula for Reinforcement Learning" | [Home Page] | [PDF]

• Will Dabney, Georg Ostrovski, David Silver, Remi Munos. "Implicit Quantile Networks for Distributional Reinforcement Learning" | [Home Page] | [PDF]

• Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, Le Song. "Learning Steady-States of Iterative Algorithms over Graphs" | [Home Page] | [PDF]

• Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song. "Adversarial Attack on Graph Structured Data" | [Home Page] | [PDF]

• Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song. "SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation" | [Home Page] | [PDF]

• Bin Dai, Chen Zhu, Baining Guo, David Wipf. "Compressing Neural Networks using the Variational Information Bottleneck" | [Home Page] | [PDF]

• Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui, Rhicheek Patra, Mahsa Taziki. "Asynchronous Byzantine Machine Learning (the case of SGD)" | [Home Page] | [PDF]

• Hadi Daneshmand, Jonas Kohler, Aurelien Lucchi, Thomas Hofmann. "Escaping Saddles with Stochastic Gradients" | [Home Page] | [PDF]

• Chris De Sa, Vincent Chen, Wing Wong. "Minibatch Gibbs Sampling on Large Graphical Models" | [Home Page] | [PDF]

• Emily Denton, Rob Fergus. "Stochastic Video Generation with a Learned Prior" | [Home Page] | [PDF]

• Stefan Depeweg, Jose-Miguel Hernandez-Lobato, Finale Doshi-Velez, Steffen Udluft. "Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning" | [Home Page] | [PDF]

• Yash Deshpande, Lester Mackey, Vasilis Syrgkanis, Matt Taddy. "Accurate Inference for Adaptive Linear Models" | [Home Page] | [PDF]

• Amir Dezfouli, Edwin Bonilla, Richard Nock. "Variational Network Inference: Strong and Stable with Concrete Support" | [Home Page] | [PDF]

• Manik Dhar, Aditya Grover, Stefano Ermon. "Modeling Sparse Deviations for Compressed Sensing using Generative Models" | [Home Page] | [PDF]

• Jelena Diakonikolas, Lorenzo Orecchia. "Alternating Randomized Block Coordinate Descent" | [Home Page] | [PDF]

• Jilles Dibangoye, Olivier Buffet. "Learning to Act in Decentralized Partially Observable MDPs" | [Home Page] | [PDF]

• Charlie Dickens, Graham Cormode, David Woodruff. "Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms" | [Home Page] | [PDF]

• Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David Blei. "Noisin: Unbiased Regularization for Recurrent Neural Networks" | [Home Page] | [PDF]

• Thomas Dietterich, George Trimponias, Zhitang Chen. "Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning" | [Home Page] | [PDF]

• Maria Dimakopoulou, Benjamin Van Roy. "Coordinated Exploration in Concurrent Reinforcement Learning" | [Home Page] | [PDF]

• Andreas Doerr, Christian Daniel, Martin Schiegg, Nguyen-Tuong Duy, Stefan Schaal, Marc Toussaint, Trimpe Sebastian. "Probabilistic Recurrent State-Space Models" | [Home Page] | [PDF]

• Nikita Doikov, Peter Richtarik, University Edinburgh. "Randomized Block Cubic Newton Method" | [Home Page] | [PDF]

• Ahmed Douik, Babak Hassibi. "Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering" | [Home Page] | [PDF]

• Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred Hamprecht. "Essentially No Barriers in Neural Network Energy Landscape" | [Home Page] | [PDF]

• Alexey Drutsa. "Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer" | [Home Page] | [PDF]

• Simon Du, Jason Lee. "On the Power of Over-parametrization in Neural Networks with Quadratic Activation" | [Home Page] | [PDF]

• Simon Du, Jason Lee, Yuandong Tian, Aarti Singh, Barnabas Poczos. "Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima" | [Home Page] | [PDF]

• Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei Efros. "Investigating Human Priors for Playing Video Games" | [Home Page] | [PDF]

• Celestine Duenner, Aurelien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi. "A Distributed Second-Order Algorithm You Can Trust" | [Home Page] | [PDF]

• Pavel Dvurechensky, Alexander Gasnikov, Alexey Kroshnin. "Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm" | [Home Page] | [PDF]

• Gintare Karolina Dziugaite, Daniel Roy. "Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors" | [Home Page] | [PDF]

• Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor. "Beyond the One-Step Greedy Approach in Reinforcement Learning" | [Home Page] | [PDF]

• Hossein Esfandiari, Silvio Lattanzi, Vahab Mirrokni. "Parallel and Streaming Algorithms for K-Core Decomposition" | [Home Page] | [PDF]

• Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Vlad Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu. "IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures" | [Home Page] | [PDF]

• Trefor Evans, Prasanth Nair. "Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)" | [Home Page] | [PDF]

• Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar. "The Limits of Maxing, Ranking, and Preference Learning" | [Home Page] | [PDF]

• Stefan Falkner, Aaron Klein, Frank Hutter. "BOHB: Robust and Efficient Hyperparameter Optimization at Scale" | [Home Page] | [PDF]

• Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh. "More Robust Doubly Robust Off-policy Evaluation" | [Home Page] | [PDF]

• Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian Ziebart. "Efficient and Consistent Adversarial Bipartite Matching" | [Home Page] | [PDF]

• Maryam Fazel, Rong Ge, Sham Kakade, Mehran Mesbahi. "Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator" | [Home Page] | [PDF]

• Ghazal Fazelnia, John Paisley. "CRVI: Convex Relaxation for Variational Inference" | [Home Page] | [PDF]

• Matthew Fellows, Kamil Ciosek, Shimon Whiteson. "Fourier Policy Gradients" | [Home Page] | [PDF]

• Jean Feng, Brian Williamson, Noah Simon, Marco Carone. "Nonparametric variable importance using an augmented neural network with multi-task learning" | [Home Page] | [PDF]

• Louis Filstroff, Alberto Lumbreras, Cédric Févotte. "Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization" | [Home Page] | [PDF]

• Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel. "Automatic Goal Generation for Reinforcement Learning Agents" | [Home Page] | [PDF]

• Jakob Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric Xing, Shimon Whiteson. "DiCE: The Infinitely Differentiable Monte Carlo Estimator" | [Home Page] | [PDF]

• Dylan Foster, Alekh Agarwal, Miroslav Dudik, Haipeng Luo, Robert Schapire. "Practical Contextual Bandits with Regression Oracles" | [Home Page] | [PDF]

• Marco Fraccaro, Danilo Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola. "Generative Temporal Models with Spatial Memory for Partially Observed Environments" | [Home Page] | [PDF]

• Guilherme Franca, Daniel Robinson, Rene Vidal. "ADMM and Accelerated ADMM as Continuous Dynamical Systems" | [Home Page] | [PDF]

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• Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Ronald Ortner. "Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning" | [Home Page] | [PDF]

• Scott Fujimoto, Herke Hoof, David Meger. "Addressing Function Approximation Error in Actor-Critic Methods" | [Home Page] | [PDF]

• Yasuhiro Fujita, Shin-ichi Maeda. "Clipped Action Policy Gradient" | [Home Page] | [PDF]

• Tommaso Furlanello, Zachary Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar. "Born Again Neural Networks" | [Home Page] | [PDF]

• Alexandros Georgogiannis. "The Generalization Error of Dictionary Learning with Moreau Envelopes" | [Home Page] | [PDF]

• Marco Gaboardi, Ryan Rogers. "Local Private Hypothesis Testing: Chi-Square Tests" | [Home Page] | [PDF]

• Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu. "Inductive Two-Layer Modeling with Parametric Bregman Transfer" | [Home Page] | [PDF]

• Octavian Ganea, Gary Becigneul, Thomas Hofmann. "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings" | [Home Page] | [PDF]

• Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider. "Parameterized Algorithms for the Matrix Completion Problem" | [Home Page] | [PDF]

• Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals. "Synthesizing Programs for Images using Reinforced Adversarial Learning" | [Home Page] | [PDF]

• Yuanxiang Gao, Li Chen, Baochun Li. "Spotlight: Optimizing Device Placement for Training Deep Neural Networks" | [Home Page] | [PDF]

• Tian Gao, Dennis Wei. "Parallel Bayesian Network Structure Learning" | [Home Page] | [PDF]

• Alexandre Garcia, Chloé Clavel, Slim Essid, Florence d’Alche-Buc. "Structured Output Learning with Abstention: Application to Accurate Opinion Prediction" | [Home Page] | [PDF]

• Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, S. M. Ali Eslami. "Conditional Neural Processes" | [Home Page] | [PDF]

• Sinong Geng, Zhaobin Kuang, Peggy Peissig, David Page. "Temporal Poisson Square Root Graphical Models" | [Home Page] | [PDF]

• AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim. "Budgeted Experiment Design for Causal Structure Learning" | [Home Page] | [PDF]

• Ramina Ghods, Andrew Lan, Tom Goldstein, Christoph Studer. "Linear Spectral Estimators and an Application to Phase Retrieval" | [Home Page] | [PDF]

• Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez. "Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors" | [Home Page] | [PDF]

• Asish Ghoshal, Jean Honorio. "Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time" | [Home Page] | [PDF]

• Travis Gibson, Georg Gerber. "Robust and Scalable Models of Microbiome Dynamics" | [Home Page] | [PDF]

• Aditya Gilra, Wulfram Gerstner. "Non-linear motor control by local learning in spiking neural networks" | [Home Page] | [PDF]

• Surbhi Goel, Adam Klivans, Raghu Meka. "Learning One Convolutional Layer with Overlapping Patches" | [Home Page] | [PDF]

• Samuel Greydanus, Anurag Koul, Jonathan Dodge, Alan Fern. "Visualizing and Understanding Atari Agents" | [Home Page] | [PDF]

• Aditya Grover, Maruan Al-Shedivat, Jayesh Gupta, Yuri Burda, Harrison Edwards. "Learning Policy Representations in Multiagent Systems" | [Home Page] | [PDF]

• Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang. "Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines" | [Home Page] | [PDF]

• Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Remi Munos, David Silver. "Learning to search with MCTSnets" | [Home Page] | [PDF]

• Suriya Gunasekar, Jason Lee, Daniel Soudry, Nathan Srebro. "Characterizing Implicit Bias in Terms of Optimization Geometry" | [Home Page] | [PDF]

• Vineet Gupta, Tomer Koren, Yoram Singer. "Shampoo: Preconditioned Stochastic Tensor Optimization" | [Home Page] | [PDF]

• Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine. "Latent Space Policies for Hierarchical Reinforcement Learning" | [Home Page] | [PDF]

• Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine. "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor" | [Home Page] | [PDF]

• Siavash Haghiri, Damien Garreau, Ulrike Luxburg. "Comparison-Based Random Forests" | [Home Page] | [PDF]

• Jihun Hamm, Yung-Kyun Noh. "K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning" | [Home Page] | [PDF]

• Lei Han, Yiheng Huang, Tong Zhang. "Candidates vs. Noises Estimation for Large Multi-Class Classification Problem" | [Home Page] | [PDF]

• Jun Han, Qiang Liu. "Stein Variational Gradient Descent Without Gradient" | [Home Page] | [PDF]

• Jason Hartford, Devon Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh. "Deep Models of Interactions Across Sets" | [Home Page] | [PDF]

• Milad Hashemi, Kevin Swersky, Jamie Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan. "Learning Memory Access Patterns" | [Home Page] | [PDF]

• Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang. "Fairness Without Demographics in Repeated Loss Minimization" | [Home Page] | [PDF]

• Ursula Hebert-Johnson, Michael Kim, Omer Reingold, Guy Rothblum. "Multicalibration: Calibration for the (Computationally-Identifiable) Masses" | [Home Page] | [PDF]

• Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha Srinivasa, Geoffrey Gordon. "Recurrent Predictive State Policy Networks" | [Home Page] | [PDF]

• Markus Heinonen, Cagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, Harri Lähdesmäki. "Learning unknown ODE models with Gaussian processes" | [Home Page] | [PDF]

• Kyle Helfrich, Devin Willmott, Qiang Ye. "Orthogonal Recurrent Neural Networks with Scaled Cayley Transform" | [Home Page] | [PDF]

• Chin Pang Ho, Marek Petrik, Wolfram Wiesemann. "Fast Bellman Updates for Robust MDPs" | [Home Page] | [PDF]

• Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell. "CyCADA: Cycle-Consistent Adversarial Domain Adaptation" | [Home Page] | [PDF]

• Steven Holtzen, Guy Broeck, Todd Millstein. "Sound Abstraction and Decomposition of Probabilistic Programs" | [Home Page] | [PDF]

• Mingyi Hong, Meisam Razaviyayn, Jason Lee. "Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks" | [Home Page] | [PDF]

• Jiri Hron, Alex Matthews, Zoubin Ghahramani. "Variational Bayesian dropout: pitfalls and fixes" | [Home Page] | [PDF]

• Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama. "Does Distributionally Robust Supervised Learning Give Robust Classifiers?" | [Home Page] | [PDF]

• Bin Hu, Stephen Wright, Laurent Lessard. "Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs" | [Home Page] | [PDF]

• Zengfeng Huang. "Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices" | [Home Page] | [PDF]

• Furong Huang, Jordan Ash, John Langford, Robert Schapire. "Learning Deep ResNet Blocks Sequentially using Boosting Theory" | [Home Page] | [PDF]

• Kejun Huang, Xiao Fu, Nicholas Sidiropoulos. "Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling" | [Home Page] | [PDF]

• Chin-Wei Huang, David Krueger, Alexandre Lacoste, Aaron Courville. "Neural Autoregressive Flows" | [Home Page] | [PDF]

• Steve Huntsman. "Topological mixture estimation" | [Home Page] | [PDF]

• Zhouyuan Huo, Bin Gu,  Yang, Heng Huang. "Decoupled Parallel Backpropagation with Convergence Guarantee" | [Home Page] | [PDF]

• Rodrigo Toro Icarte, Toryn Klassen, Richard Valenzano, Sheila McIlraith. "Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning" | [Home Page] | [PDF]

• Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson. "Deep Variational Reinforcement Learning for POMDPs" | [Home Page] | [PDF]

• Maximilian Ilse, Jakub Tomczak, Max Welling. "Attention-based Deep Multiple Instance Learning" | [Home Page] | [PDF]

• Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin. "Black-box Adversarial Attacks with Limited Queries and Information" | [Home Page] | [PDF]

• Hideaki Imamura, Issei Sato, Masashi Sugiyama. "Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model" | [Home Page] | [PDF]

• Ehsan Imani, Martha White. "Improving Regression Performance with Distributional Losses" | [Home Page] | [PDF]

• David Inouye, Pradeep Ravikumar. "Deep Density Destructors" | [Home Page] | [PDF]

• Shinji Ito, Akihiro Yabe, Ryohei Fujimaki. "Unbiased Objective Estimation in Predictive Optimization" | [Home Page] | [PDF]

• Sergey Ivanov, Evgeny Burnaev. "Anonymous Walk Embeddings" | [Home Page] | [PDF]

• Ariel Jaffe, Roi Weiss, Boaz Nadler, Shai Carmi, Yuval Kluger. "Learning Binary Latent Variable Models: A Tensor Eigenpair Approach" | [Home Page] | [PDF]

• Lalit Jain, Kevin Jamieson. "Firing Bandits: Optimizing Crowdfunding" | [Home Page] | [PDF]

• Prateek Jain, Om Dipakbhai Thakkar, Abhradeep Thakurta. "Differentially Private Matrix Completion Revisited" | [Home Page] | [PDF]

• Yunseok Jang, Gunhee Kim, Yale Song. "Video Prediction with Appearance and Motion Conditions" | [Home Page] | [PDF]

• Martin Jankowiak, Fritz Obermeyer. "Pathwise Derivatives Beyond the Reparameterization Trick" | [Home Page] | [PDF]

• Dominik Janzing, Bernhard Schölkopf. "Detecting non-causal artifacts in multivariate linear regression models" | [Home Page] | [PDF]

• Pratik Jawanpuria, Bamdev Mishra. "A Unified Framework for Structured Low-rank Matrix Learning" | [Home Page] | [PDF]

• Yeonwoo Jeong, Hyun Oh Song. "Efficient end-to-end learning for quantizable representations" | [Home Page] | [PDF]

• Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken. "Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks" | [Home Page] | [PDF]

• Daniel Jiang, Emmanuel Ekwedike, Han Liu. "Feedback-Based Tree Search for Reinforcement Learning" | [Home Page] | [PDF]

• Heinrich Jiang, Jennifer Jang, Samory Kpotufe. "Quickshift++: Provably Good Initializations for Sample-Based Mean Shift" | [Home Page] | [PDF]

• Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei. "MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels" | [Home Page] | [PDF]

• Yunlong Jiao, Jean-Philippe Vert. "The Weighted Kendall and High-order Kernels for Permutations" | [Home Page] | [PDF]

• Wengong Jin, Regina Barzilay, Tommi Jaakkola. "Junction Tree Variational Autoencoder for Molecular Graph Generation" | [Home Page] | [PDF]

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• Peter Jin, Kurt Keutzer, Sergey Levine. "Regret Minimization for Partially Observable Deep Reinforcement Learning" | [Home Page] | [PDF]

• Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan. "WSNet: Compact and Efficient Networks Through Weight Sampling" | [Home Page] | [PDF]

• ST John, James Hensman. "Large-Scale Cox Process Inference using Variational Fourier Features" | [Home Page] | [PDF]

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• Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer. "Fast Decoding in Sequence Models Using Discrete Latent Variables" | [Home Page] | [PDF]

• Takafumi Kajihara, Motonobu Kanagawa, Keisuke Yamazaki, Kenji Fukumizu. "Kernel Recursive ABC: Point Estimation with Intractable Likelihood" | [Home Page] | [PDF]

• Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron Oord, Sander Dieleman, Koray Kavukcuoglu. "Efficient Neural Audio Synthesis" | [Home Page] | [PDF]

• Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg. "Learning Diffusion using Hyperparameters" | [Home Page] | [PDF]

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• Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori. "Semi-Supervised Learning via Compact Latent Space Clustering" | [Home Page] | [PDF]

• Bingyi Kang, Zequn Jie, Jiashi Feng. "Policy Optimization with Demonstrations" | [Home Page] | [PDF]

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• Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin, Volkan Cevher. "Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games" | [Home Page] | [PDF]

• Christos Kaplanis, Murray Shanahan, Claudia Clopath. "Continual Reinforcement Learning with Complex Synapses" | [Home Page] | [PDF]

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• Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra. "Riemannian Stochastic Recursive Gradient Algorithm" | [Home Page] | [PDF]

• Angelos Katharopoulos, Francois Fleuret. "Not All Samples Are Created Equal: Deep Learning with Importance Sampling" | [Home Page] | [PDF]

• Julian Katz-Samuels, Clay Scott. "Feasible Arm Identification" | [Home Page] | [PDF]

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• Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal. "Focused Hierarchical RNNs for Conditional Sequence Processing" | [Home Page] | [PDF]

• Michael Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness" | [Home Page] | [PDF]

• Omid Keivani, Kaushik Sinha. "Improved nearest neighbor search using auxiliary information and priority functions" | [Home Page] | [PDF]

• Noble Kennamer, David Kirkby, Alexander Ihler, Francisco Javier Sanchez-Lopez. "ContextNet: Deep learning for Star Galaxy Classification" | [Home Page] | [PDF]

• Thomas Kerdreux, Fabian Pedregosa, Alexandre d’Aspremont. "Frank-Wolfe with Subsampling Oracle" | [Home Page] | [PDF]

• Koulik Khamaru, Martin Wainwright. "Convergence guarantees for a class of non-convex and non-smooth optimization problems" | [Home Page] | [PDF]

• Mohammad Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava. "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" | [Home Page] | [PDF]

• Valentin Khrulkov, Ivan Oseledets. "Geometry Score: A Method For Comparing Generative Adversarial Networks" | [Home Page] | [PDF]

• Niki Kilbertus, Adria Gascon, Matt Kusner, Michael Veale, Krishna Gummadi, Adrian Weller. "Blind Justice: Fairness with Encrypted Sensitive Attributes" | [Home Page] | [PDF]

• Minyoung Kim. "Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data" | [Home Page] | [PDF]

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• Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory sayres. "Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)" | [Home Page] | [PDF]

• Yoon Kim, Sam Wiseman, Andrew Miller, David Sontag, Alexander Rush. "Semi-Amortized Variational Autoencoders" | [Home Page] | [PDF]

• Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel. "Neural Relational Inference for Interacting Systems" | [Home Page] | [PDF]

• Bobby Kleinberg, Yuanzhi Li, Yang Yuan. "An Alternative View: When Does SGD Escape Local Minima?" | [Home Page] | [PDF]

• Matthaeus Kleindessner, Pranjal Awasthi. "Crowdsourcing with Arbitrary Adversaries" | [Home Page] | [PDF]

• Jeremias Knoblauch, Theodoros Damoulas. "Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection" | [Home Page] | [PDF]

• Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamas Keviczky. "Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework" | [Home Page] | [PDF]

• Junpei Komiyama, Akiko Takeda, Junya Honda, Hajime Shimao. "Nonconvex Optimization for Regression with Fairness Constraints" | [Home Page] | [PDF]

• Risi Kondor, Shubhendu Trivedi. "On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups" | [Home Page] | [PDF]

• Frederic Koriche. "Compiling Combinatorial Prediction Games" | [Home Page] | [PDF]

• Ben Krause, Emmanuel Kahembwe, Iain Murray, Steve Renals. "Dynamic Evaluation of Neural Sequence Models" | [Home Page] | [PDF]

• Akshay Krishnamurthy, Zhiwei Steven Wu, Vasilis Syrgkanis. "Semiparametric Contextual Bandits" | [Home Page] | [PDF]

• Alan Kuhnle, J. David Smith, Victoria Crawford, My Thai. "Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice" | [Home Page] | [PDF]

• Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon. "Accurate Uncertainties for Deep Learning Using Calibrated Regression" | [Home Page] | [PDF]

• Aviral Kumar, Sunita Sarawagi, Ujjwal Jain. "Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings" | [Home Page] | [PDF]

• Ilja Kuzborskij, Christoph Lampert. "Data-Dependent Stability of Stochastic Gradient Descent" | [Home Page] | [PDF]

• Xuhong LI, Yves Grandvalet, Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks" | [Home Page] | [PDF]

• SHIYU LIANG, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant. "Understanding the Loss Surface of Neural Networks for Binary Classification" | [Home Page] | [PDF]

• Thomas LUCAS, Corentin Tallec, Yann Ollivier, Jakob Verbeek. "Mixed batches and symmetric discriminators for GAN training" | [Home Page] | [PDF]

• Eduardo Laber, Marco Molinaro, Felipe Mello Pereira. "Binary Partitions with Approximate Minimum Impurity" | [Home Page] | [PDF]

• Timothee Lacroix, Nicolas Usunier, Guillaume Obozinski. "Canonical Tensor Decomposition for Knowledge Base Completion" | [Home Page] | [PDF]

• Brenden Lake, Marco Baroni. "Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks" | [Home Page] | [PDF]

• Andrew Lan, Mung Chiang, Christoph Studer. "An Estimation and Analysis Framework for the Rasch Model" | [Home Page] | [PDF]

• Jan-Hendrik Lange, Andreas Karrenbauer, Bjoern Andres. "Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering" | [Home Page] | [PDF]

• Thomas Laurent, James Brecht. "Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global" | [Home Page] | [PDF]

• Thomas Laurent, James Brecht. "The Multilinear Structure of ReLU Networks" | [Home Page] | [PDF]

• Hoang Le, Nan Jiang, Alekh Agarwal, Miroslav Dudik, Yisong Yue, Hal Daumé III. "Hierarchical Imitation and Reinforcement Learning" | [Home Page] | [PDF]

• Yoonho Lee, Seungjin Choi. "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace" | [Home Page] | [PDF]

• Kyowoon Lee, Sol-A Kim, Jaesik Choi, Seong-Whan Lee. "Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling" | [Home Page] | [PDF]

• Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Eric Xing, Ruslan Salakhutdinov. "Gated Path Planning Networks" | [Home Page] | [PDF]

• Hae Beom Lee, Eunho Yang, Sung Ju Hwang. "Deep Asymmetric Multi-task Feature Learning" | [Home Page] | [PDF]

• Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila. "Noise2Noise: Learning Image Restoration without Clean Data" | [Home Page] | [PDF]

• Keith Levin, Fred Roosta, Michael Mahoney, Carey Priebe. "Out-of-sample extension of graph adjacency spectral embedding" | [Home Page] | [PDF]

• Qianxiao Li, Shuji Hao. "An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks" | [Home Page] | [PDF]

• Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tieyan Liu. "Towards Binary-Valued Gates for Robust LSTM Training" | [Home Page] | [PDF]

• Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt. "On the Limitations of First-Order Approximation in GAN Dynamics" | [Home Page] | [PDF]

• Pan Li, Olgica Milenkovic. "Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering" | [Home Page] | [PDF]

• Yuanzhi Li, Yoram Singer. "The Well-Tempered Lasso" | [Home Page] | [PDF]

• Xudong Li, Mengdi Wang, Anru Zhang. "Estimation of Markov Chain via Rank-Constrained Likelihood" | [Home Page] | [PDF]

• Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu. "Asynchronous Decentralized Parallel Stochastic Gradient Descent" | [Home Page] | [PDF]

• Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael Jordan, Ion Stoica. "RLlib: Abstractions for Distributed Reinforcement Learning" | [Home Page] | [PDF]

• Zhenyu Liao, Romain Couillet. "On the Spectrum of Random Features Maps of High Dimensional Data" | [Home Page] | [PDF]

• Zhenyu Liao, Romain Couillet. "The Dynamics of Learning: A Random Matrix Approach" | [Home Page] | [PDF]

• Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel. "Reviving and Improving Recurrent Back-Propagation" | [Home Page] | [PDF]

• Junhong Lin, Volkan Cevher. "Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods" | [Home Page] | [PDF]

• Junhong Lin, Volkan Cevher. "Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces" | [Home Page] | [PDF]

• Qihang Lin, Runchao Ma, Tianbao Yang. "Level-Set Methods for Finite-Sum Constrained Convex Optimization" | [Home Page] | [PDF]

• Zachary Lipton, Yu-Xiang Wang, Alexander Smola. "Detecting and Correcting for Label Shift with Black Box Predictors" | [Home Page] | [PDF]

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• Martin Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg. "Learning by Playing Solving Sparse Reward Tasks from Scratch" | [Home Page] | [PDF]

• Samuel Ritter, Jane Wang, Zeb Kurth-Nelson, Siddhant Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick. "Been There, Done That: Meta-Learning with Episodic Recall" | [Home Page] | [PDF]

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• Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, Peter Battaglia. "Graph Networks as Learnable Physics Engines for Inference and Control" | [Home Page] | [PDF]

• Shibani Santurkar, Ludwig Schmidt, Aleksander Madry. "A Classification-Based Study of Covariate Shift in GAN Distributions" | [Home Page] | [PDF]

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• Pengtao Xie, Wei Wu, Yichen Zhu, Eric Xing. "Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis" | [Home Page] | [PDF]

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• Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen. "Learning Semantic Representations for Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Jiaming Xu. "Rates of Convergence of Spectral Methods for Graphon Estimation" | [Home Page] | [PDF]

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• Ganggang Xu, Zuofeng Shang, Guang Cheng. "Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data" | [Home Page] | [PDF]

• Pan Xu, Tianhao Wang, Quanquan Gu. "Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions" | [Home Page] | [PDF]

• Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Broeck. "A Semantic Loss Function for Deep Learning with Symbolic Knowledge" | [Home Page] | [PDF]

• Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi. "Causal Bandits with Propagating Inference" | [Home Page] | [PDF]

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• Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin. "Policy Optimization as Wasserstein Gradient Flows" | [Home Page] | [PDF]

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• Jiong Zhang, Yibo Lin, Zhao Song, Inderjit Dhillon. "Learning Long Term Dependencies via Fourier Recurrent Units" | [Home Page] | [PDF]

• Liwen Zhang, Gregory Naitzat, Lek-Heng Lim. "Tropical Geometry of Deep Neural Networks" | [Home Page] | [PDF]

• Aonan Zhang, John Paisley. "Deep Bayesian Nonparametric Tracking" | [Home Page] | [PDF]

• Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus. "Composable Planning with Attributes" | [Home Page] | [PDF]

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• He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou. "Inter and Intra Topic Structure Learning with Word Embeddings" | [Home Page] | [PDF]

• Junbo Zhao, Yoon Kim, Kelly Zhang, Alexander Rush, Yann LeCun. "Adversarially Regularized Autoencoders" | [Home Page] | [PDF]

• Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang. "MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning" | [Home Page] | [PDF]

• Zhibing Zhao, Lirong Xia. "Composite Marginal Likelihood Methods for Random Utility Models" | [Home Page] | [PDF]

• Shuai Zheng, James Tin-Yau Kwok. "Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data" | [Home Page] | [PDF]

• Sue Zheng, Jason Pacheco, John Fisher. "A Robust Approach to Sequential Information Theoretic Planning" | [Home Page] | [PDF]

• Andrey Zhitnikov, Rotem Mulayoff, Tomer Michaeli. "Revealing Common Statistical Behaviors in Heterogeneous Populations" | [Home Page] | [PDF]

• Pan Zhou, Jiashi Feng. "Understanding Generalization and Optimization Performance of Deep CNNs" | [Home Page] | [PDF]

• Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei. "Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?" | [Home Page] | [PDF]

• Kaiwen Zhou, Fanhua Shang, James Cheng. "A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates" | [Home Page] | [PDF]

• Dongruo Zhou, Pan Xu, Quanquan Gu. "Stochastic Variance-Reduced Cubic Regularized Newton Methods" | [Home Page] | [PDF]

• Yichi Zhou, Jun Zhu, Jingwei Zhuo. "Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors" | [Home Page] | [PDF]

• Yuancheng Zhu, John Lafferty. "Distributed Nonparametric Regression under Communication Constraints" | [Home Page] | [PDF]

• Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang. "Message Passing Stein Variational Gradient Descent" | [Home Page] | [PDF]

• Difan Zou, Pan Xu, Quanquan Gu. "Stochastic Variance-Reduced Hamilton Monte Carlo Methods" | [Home Page] | [PDF]

• Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou. "Rectify Heterogeneous Models with Semantic Mapping" | [Home Page] | [PDF]

• Nevan wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee. "Hierarchical Long-term Video Prediction without Supervision" | [Home Page] | [PDF]