Papers
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
Yun Kuen Cheung, Georgios Piliouras
Towards a Combinatorial Characterization of Bounded-Memory Learning
Alon Gonen, Shachar Lovett, Michal Moshkovitz
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
Arya Akhavan, Massimiliano Pontil, Alexandre Tsybakov
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu, Minghao Zhang, Honglak Lee et al.
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang, Bin Dai, David P. Wipf et al.
Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
Pinar Ozisik, Philip S. Thomas
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang et al.
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
Guilin Li, Junlei Zhang, Yunhe Wang et al.
Adversarial Example Games
Joey Bose, Gauthier Gidel, Hugo Berard et al.
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
PEP: Parameter Ensembling by Perturbation
Alireza Mehrtash, Purang Abolmaesumi, Polina Golland et al.
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Tongzhou Mu, Jiayuan Gu, Zhiwei Jia et al.
Bandit Linear Control
Asaf Cassel, Tomer Koren
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
Taira Tsuchiya, Junya Honda, Masashi Sugiyama
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy, Yair Carmon, John C. Duchi et al.
Better Full-Matrix Regret via Parameter-Free Online Learning
Ashok Cutkosky
Understanding spiking networks through convex optimization
Allan Mancoo, Sander Keemink, Christian K. Machens
Impossibility Results for Grammar-Compressed Linear Algebra
Amir Abboud, Arturs Backurs, Karl Bringmann et al.
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu, Li Kevin Wenliang, Michael Munn et al.
Generalized Boosting
Arun Suggala, Bingbin Liu, Pradeep K. Ravikumar
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
Debiased Contrastive Learning
Ching-Yao Chuang, Joshua W. Robinson, Yen-Chen Lin et al.
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi, David J Fleet, Mohammad Norouzi