Lu, Chen

9 publications

NeurIPS 2025 Sequential Multi-Agent Dynamic Algorithm Configuration Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

ECCV 2024 Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu

JMLR 2023 Contextual Stochastic Block Model: Sharp Thresholds and Contiguity Chen Lu, Subhabrata Sen

ALT 2023 Fisher Information Lower Bounds for Sampling Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu

AISTATS 2022 Rejection Sampling from Shape-Constrained Distributions in Sublinear Time Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet

COLT 2022 The Query Complexity of Sampling from Strongly Log-Concave Distributions in One Dimension Sinho Chewi, Patrik R Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet

COLT 2021 Optimal Dimension Dependence of the Metropolis-Adjusted Langevin Algorithm Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet

NeurIPS 2020 Exponential Ergodicity of Mirror-Langevin Diffusions Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin Stromme

NeurIPS 2020 SVGD as a Kernelized Wasserstein Gradient Flow of the Chi-Squared Divergence Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet