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ORCIDChen Lu 0002
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Chen Lu — disambiguation page
- Chen Lu 0001
![[0000-0003-1927-2391]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1927-2391")
— Beihang University, Institute of Reliability Engineering, Beijing, China - Chen Lu 0003 — University of Science and Technology of China, School of Management, Hefei, China
- Chen Lu 0004 — Nanjing University of Information Science and Technology, Nanjing, China
- Chen Lu 0005 — Wuhan University, State Key Laboratory of Virology, Wuhan, China
- Chen Lu 0006 — Southeast University, School of Electrical Engineering, Nanjing, China
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Journal Articles
- 2024
[j1]Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan:
Query Lower Bounds for Log-concave Sampling. J. ACM 71(4): 29:1-29:42 (2024)
Conference and Workshop Papers
- 2023
- [c7]Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu:
Fisher information lower bounds for sampling. ALT 2023: 375-410 - [c6]Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan:
Query lower bounds for log-concave sampling. FOCS 2023: 2139-2148 - 2022
- [c5]Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
Rejection sampling from shape-constrained distributions in sublinear time. AISTATS 2022: 2249-2265 - [c4]Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
The query complexity of sampling from strongly log-concave distributions in one dimension. COLT 2022: 2041-2059 - 2021
- [c3]Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet:
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm. COLT 2021: 1260-1300 - 2020
- [c2]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet:
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. NeurIPS 2020 - [c1]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Exponential ergodicity of mirror-Langevin diffusions. NeurIPS 2020
Informal and Other Publications
- 2023
- [i7]Sinho Chewi, Jaume de Dios Pont, Jerry Li, Chen Lu, Shyam Narayanan:
Query lower bounds for log-concave sampling. CoRR abs/2304.02599 (2023) - 2022
- [i6]Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu:
Fisher information lower bounds for sampling. CoRR abs/2210.02482 (2022) - 2021
- [i5]Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
The query complexity of sampling from strongly log-concave distributions in one dimension. CoRR abs/2105.14163 (2021) - [i4]Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
Rejection sampling from shape-constrained distributions in sublinear time. CoRR abs/2105.14166 (2021) - 2020
- [i3]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Exponential ergodicity of mirror-Langevin diffusions. CoRR abs/2005.09669 (2020) - [i2]Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet:
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. CoRR abs/2006.02509 (2020) - [i1]Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet:
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm. CoRR abs/2012.12810 (2020)
Coauthor Index
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