論文表記の著者名
Junya Honda
京都大学Machine Learning2022–2026 LIVE
対象論文 14 本
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対象論文
論文一覧
- Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader
- Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs
- Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
- Optimal Estimation of the Best Mean in Multi-Armed Bandits
- Optimal Regret of Bandits under Differential Privacy
- Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
- Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds
- Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
- Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
- Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
- Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
- Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds
- Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
- Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs