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Deep Reinforcement Learning for Cost-Effective Medical Diagnosis


Feb 28, 2023
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang

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* Accepted to ICRL 2023 

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Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data


Feb 14, 2023
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang

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* 52 pages, 4 figures 

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Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization


Jun 29, 2022
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang

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High Precision Indoor Localization with Dummy Antennas -- An Experimental Study


Aug 24, 2021
Kaixuan Huang, Chenlu Xiang, Shunqing Zhang, Shugong Xu, Xianfeng Ma, Qinglong Xian, Hua Yang

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* To appear at IEEE GLOBECOM 2021 

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Going Beyond Linear RL: Sample Efficient Neural Function Approximation


Jul 14, 2021
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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Optimal Gradient-based Algorithms for Non-concave Bandit Optimization


Jul 09, 2021
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

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A Short Note on the Relationship of Information Gain and Eluder Dimension


Jul 06, 2021
Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei

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Fast Federated Learning in the Presence of Arbitrary Device Unavailability


Jun 08, 2021
Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang

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Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective


Feb 14, 2020
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao

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