Papers
Reaping the Benefits of Bundling under High Production Costs
Will Ma, David Simchi-Levi
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
Leena C. Vankadara, Sebastian Bordt, Ulrike von Luxburg et al.
Regression Discontinuity Design under Self-selection
Sida Peng, Yang Ning
Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi et al.
Regret-Optimal Filtering
Oron Sabag, Babak Hassibi
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
Tianyang Hu, Wenjia Wang, Cong Lin et al.
Regularized ERM on random subspaces
Andrea Della Vecchia, Jaouad Mourtada, Ernesto De Vito et al.
Regularized Policies are Reward Robust
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Reinforcement Learning for Constrained Markov Decision Processes
Ather Gattami, Qinbo Bai, Vaneet Aggarwal
Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee, Desik Rengarajan, Dileep Kalathil et al.
Reinforcement Learning in Parametric MDPs with Exponential Families
Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri et al.
Revisiting Projection-free Online Learning: the Strongly Convex Case
Ben Kretzu, Dan Garber
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand et al.
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
Shengjia Zhao, Stefano Ermon
Robust and Private Learning of Halfspaces
Badih Ghazi, Ravi Kumar, Pasin Manurangsi et al.
Robust hypothesis testing and distribution estimation in Hellinger distance
Ananda Theertha Suresh
Robust Imitation Learning from Noisy Demonstrations
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
Robust Learning under Strong Noise via SQs
Ioannis Anagnostides, Themis Gouleakis, Ali Marashian
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Lunjia Hu, Omer Reingold
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu, Yingbin Liang
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
Roberto Vega, Pouneh Gorji, Zichen Zhang et al.
Sample Elicitation
Jiaheng Wei, Zuyue Fu, Yang Liu et al.