Chen Lu

15 papers A* 5A 1B 1Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Query Lower Bounds for Log-concave Sampling.
J. ACM
Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan
2023 B conf
Fisher information lower bounds for sampling.
ALT
Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu
2023 A* conf
Query lower bounds for log-concave sampling.
FOCS
Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan
2023 J jnl
Query lower bounds for log-concave sampling.
CoRR
Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan
2022 J jnl
Fisher information lower bounds for sampling.
CoRR
Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu
2022 A conf
Rejection sampling from shape-constrained distributions in sublinear time.
AISTATS
Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet
2022 A* conf
The query complexity of sampling from strongly log-concave distributions in one dimension.
COLT
Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet
2021 A* conf
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm.
COLT
Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet
2021 J jnl
Rejection sampling from shape-constrained distributions in sublinear time.
CoRR
Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet
2021 J jnl
The query complexity of sampling from strongly log-concave distributions in one dimension.
CoRR
Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet
2020 A* conf
Exponential ergodicity of mirror-Langevin diffusions.
NeurIPS
Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
2020 J jnl
Exponential ergodicity of mirror-Langevin diffusions.
CoRR
Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
2020 J jnl
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm.
CoRR
Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet
2020 A* conf
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence.
NeurIPS
Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet
2020 J jnl
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence.
CoRR
Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet