論文表記の著者名
Taira Tsuchiya
東京大学Machine Learning2022–2026 LIVE
対象論文 14 本
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対象論文
論文一覧
- Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret
- Data- and Variance-dependent Regret Bounds for Online Tabular MDPs
- Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
- Corrupted Learning Dynamics in Games
- Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
- Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
- Bandit and Delayed Feedback in Online Structured Prediction
- Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound
- Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds
- Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss
- Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
- A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds
- Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
- Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds