Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling

On Universally Optimal Algorithms for A/B Testing

機械学習が紡ぐゲーム理論のフロンティア

RLHFにおける分布シフトの評価

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

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

研修医配属における地域間格差を調整する制約のモンテカルロ木探索

二人零和マルコフゲームにおける状態抽象化法に関する研究

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

オンライン環境において公平な資源配分を実現するアルゴリズムに関する研究