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Papers
Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
ICML 2025
MDP Geometry, Normalization and Reward Balancing Solvers
AISTATS 2025
Metric Learning in an RKHS
UAI 2025
Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
ICLR 2025
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
ICLR 2025
Model-Free Offline Reinforcement Learning with Enhanced Robustness
ICLR 2025
Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity
ACML 2025
Multiple-policy Evaluation via Density Estimation
ICML 2025
Multi-thresholding Good Arm Identification with Bandit Feedback
ACML 2025
Nearly Optimal Sample Complexity for Learning with Label Proportions
ICML 2025
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
AAAI 2025
Near-optimal algorithms for private estimation and sequential testing of collision probability
AISTATS 2025
Near Optimal Best Arm Identification for Clustered Bandits
ICML 2025
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
AISTATS 2025
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
Near-Polynomially Competitive Active Logistic Regression
AISTATS 2025
Nonconvex Linear System Identification with Minimal State Representation
L4DC 2025
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract
COLT 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
JMLR 2025
Nonlinear transformers can perform inference-time feature learning
ICML 2025
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
ICLR 2025
Offline RL via Feature-Occupancy Gradient Ascent
AISTATS 2025
Online Learning of Coalition Structures by Selfish Agents
AAAI 2025
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
AAAI 2025
On the Sample Complexity of Next-Token Prediction
AISTATS 2025