On Universally Optimal Algorithms for A/B Testing

Safe Collaborative Filtering

Policy Gradient with Kernel Quadrature

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation

Policy Gradient Algorithms with Monte-Carlo Tree Learning for Non-Markov Decision Processes

On the True Distribution Approximation of Minimum Bayes-Risk Decoding

Model-based minimum bayes risk decoding

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

Adaptively Perturbed Mirror Descent for Learning in Games

On Universally Optimal Algorithms for A/B Testing

Matroid Semi-Bandits in Sublinear Time

二人零和ゲームにおける突然変異駆動型正則化先導者追従法の終極反復収束

Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems

Learning Fair Division from Bandit Feedback

Optimal Clustering from Noisy Binary Feedback

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget

Exploration of Unranked Items in Safe Online Learning to Re-Rank

Rate-Optimal Bayesian Simple Regret in Best Arm Identification

An Optimal Clustering Algorithm for the Labeled Stochastic Block Model