Papers
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Shufan Wang, Jian Li, Shiqiang Wang
Adversarial Blocking Bandits
Nicholas Bishop, Hau Chan, Debmalya Mandal et al.
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh et al.
Novelty Search in Representational Space for Sample Efficient Exploration
Ruo Yu Tao, Vincent Francois-Lavet, Joelle Pineau
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser et al.
Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong, Wenpeng Wei, Ziwei Deng et al.
Towards Learning Convolutions from Scratch
Behnam Neyshabur
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Jaehyeon Kim, Sungwon Kim, Jungil Kong et al.
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So, Basak Guler, Salman Avestimehr
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
Alexander Wei, Fred Zhang
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin, Haoxian Chen, Krzysztof M Choromanski et al.
Subgraph Neural Networks
Emily Alsentzer, Samuel Finlayson, Michelle Li et al.
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
Yingxiang Yang, Negar Kiyavash, Le Song et al.
Learning from Aggregate Observations
Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu et al.
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Wanxin Jin, Zhaoran Wang, Zhuoran Yang et al.
Improving Generalization in Reinforcement Learning with Mixture Regularization
KAIXIN WANG, Bingyi Kang, Jie Shao et al.
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
Peizhong Ju, Xiaojun Lin, Jia Liu
Deep Transformation-Invariant Clustering
Tom Monnier, Thibault Groueix, Mathieu Aubry
Secretary and Online Matching Problems with Machine Learned Advice
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer et al.
Distributionally Robust Parametric Maximum Likelihood Estimation
Viet Anh Nguyen, Xuhui Zhang, Jose Blanchet et al.
Deep Statistical Solvers
Balthazar Donon, Zhengying Liu, Wenzhuo LIU et al.
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Minhae Kwon, Saurabh Daptardar, Paul R. Schrater et al.
Off-Policy Interval Estimation with Lipschitz Value Iteration
Ziyang Tang, Yihao Feng, Na Zhang et al.
Neural Star Domain as Primitive Representation
Yuki Kawana, Yusuke Mukuta, Tatsuya Harada