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Papers
Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
AAAI 2026
The Convergence Behavior of Adam under Heavy-Tailed Noise
UAI 2026
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
ICLR 2025
Online Quantile Regression
JMLR 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
The Value of Sensory Information to a Robot
ICLR 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
AISTATS 2025
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
AISTATS 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms
IJCAI 2024
Continuous Prediction with Experts' Advice
JMLR 2024
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification
L4DC 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
AISTATS 2024
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation
ICML 2024
Regret Analysis of Bilateral Trade with a Smoothed Adversary
JMLR 2024
Reinforcement Learning with Lookahead Information
NeurIPS 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
AAAI 2024
Robust Neural Contextual Bandit against Adversarial Corruptions
NeurIPS 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number
NeurIPS 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
Anytime-Competitive Reinforcement Learning with Policy Prior
NeurIPS 2023
A Unified Algorithm for Stochastic Path Problems
ALT 2023
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
IJCAI 2023
Learning to Rank under Multinomial Logit Choice
JMLR 2023
On the Complexity of Representation Learning in Contextual Linear Bandits
AISTATS 2023
Optimal Rates for Bandit Nonstochastic Control
NeurIPS 2023