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Fan Chen

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LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Sep 25, 2023
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, Lei Jiang

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Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Jun 07, 2023
Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei

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ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting

Mar 23, 2023
Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar

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Provable Convergence of Variational Monte Carlo Methods

Mar 19, 2023
Tianyou Li, Fan Chen, Huajie Chen, Zaiwen Wen

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Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge

Feb 21, 2023
Fan Chen, Yan Huang, Xinfang Zhang, Kang Luo, Jinxuan Zhu, Ruixian He

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QTrojan: A Circuit Backdoor Against Quantum Neural Networks

Feb 16, 2023
Cheng Chu, Lei Jiang, Martin Swany, Fan Chen

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Lower Bounds for Learning in Revealing POMDPs

Feb 02, 2023
Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai

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Uniform-in-Time Propagation of Chaos for Mean Field Langevin Dynamics

Dec 06, 2022
Fan Chen, Zhenjie Ren, Songbo Wang

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Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms

Sep 29, 2022
Fan Chen, Yu Bai, Song Mei

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Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning

Sep 23, 2022
Fan Chen, Song Mei, Yu Bai

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