Longbo Huang

On the Sublinear Regret of Continuous K-Max Bandits UAI 2026 Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks ICLR 2025 Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games ICLR 2025 Finite-Time Analysis of Discrete-Time Stochastic Interpolants ICML 2025 uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs ICLR 2025 A Quadratic Synchronization Rule for Distributed Deep Learning ICLR 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning ICML 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023 Collaborative Pure Exploration in Kernel Bandit ICLR 2023 Generative Augmented Flow Networks ICLR 2023 Multi-task Representation Learning for Pure Exploration in Linear Bandits ICML 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Provably Safe Reinforcement Learning with Step-wise Violation Constraints NeurIPS 2023 RePreM: Representation Pre-training with Masked Model for Reinforcement Learning AAAI 2023 RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch ICLR 2023 Stochastic Generative Flow Networks UAI 2023 Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 2023 Why (and When) does Local SGD Generalize Better than SGD? ICLR 2023 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022 Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022 Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022 Provable Generalization of Overparameterized Meta-learning Trained with SGD NeurIPS 2022 Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback AAAI 2021 A One-Size-Fits-All Solution to Conservative Bandit Problems AAAI 2021 Continuous Mean-Covariance Bandits NeurIPS 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Fast Federated Learning in the Presence of Arbitrary Device Unavailability NeurIPS 2021 Multi-Agent Reinforcement Learning in Stochastic Networked Systems NeurIPS 2021 Regularized Softmax Deep Multi-Agent Q-Learning NeurIPS 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 What Makes Multi-Modal Learning Better than Single (Provably) NeurIPS 2021 Combinatorial Pure Exploration for Dueling Bandit ICML 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits NeurIPS 2020 Softmax Deep Double Deterministic Policy Gradients NeurIPS 2020 A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks IJCAI 2018 Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback IJCAI 2018 Multi-armed Bandits with Compensation NeurIPS 2018 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017