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Longbo Huang

45 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (6)
🧭 Keyword Pioneer πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (147) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (45) πŸ”₯ Unstoppable (9) ❓ The Questioner (2)

Conferences

NIPS (13) ICLR (11) ICML (11) AAAI (5) IJCAI (4) UAI (1)

Top co-authors

Ling Pan (9) Yihan Du (8) Siwei Wang (8) Yu Chen (7) Pihe Hu (5) Jiatai Huang (4) Yu Huang (3) Yan Dai (3) Zhixuan Fang (3) Qingpeng Cai (3)

Keywords

regret bound (11) multi-armed bandit (8) stochastic optimization (4) reinforcement learning (4) online learning (4) adversarial learning (3) softmax operator (2) model compression (2) markov decision process (2) stochastic process (2) sample complexity (2) representation learning (2) online algorithm (2) deep deterministic policy gradient (2) policy gradient (2) multi-modal learning (2) adversarial setting (2) multi-agent reinforcement learning (2) feature learning (1) temporal difference learning (1)

Papers

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