Papers
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
Avishek Ghosh, Abishek Sankararaman, Ramchandran Kannan
Product Manifold Learning
Sharon Zhang, Amit Moscovich, Amit Singer
Projection-Free Optimization on Uniformly Convex Sets
Thomas Kerdreux, Alexandre d’Aspremont, Sebastian Pokutta
Provable Hierarchical Imitation Learning via EM
Zhiyu Zhang, Ioannis Paschalidis
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case
Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang et al.
Provably Safe PAC-MDP Exploration Using Analogies
Melrose Roderick, Vaishnavh Nagarajan, Zico Kolter
Q-learning with Logarithmic Regret
Kunhe Yang, Lin Yang, Simon Du
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller et al.
Random Coordinate Underdamped Langevin Monte Carlo
Zhiyan Ding, Qin Li, Jianfeng Lu et al.
RankDistil: Knowledge Distillation for Ranking
Sashank Reddi, Rama Kumar Pasumarthi, Aditya Menon et al.
Rao-Blackwellised parallel MCMC
Tobias Schwedes, Ben Calderhead
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization
Zichong Li, Pin-Yu Chen, Sijia Liu et al.
Rate-Regularization and Generalization in Variational Autoencoders
Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan et al.
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