SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence. - Sinho Chewi; Thibaut Le Gouic; Chen Lu 002; Tyler Maunu; Philippe Rigollet (NeurIPS, 2020)

Exponential ergodicity of mirror-Langevin diffusions. - Sinho Chewi; Thibaut Le Gouic; Chen Lu 002; Tyler Maunu; Philippe Rigollet; Austin J. Stromme (NeurIPS, 2020)

Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm. - Sinho Chewi; Chen Lu 002; Kwangjun Ahn; Xiang Cheng; Thibaut Le Gouic; Philippe Rigollet (COLT, 2021)

Rejection sampling from shape-constrained distributions in sublinear time. - Sinho Chewi; Patrik R. Gerber; Chen Lu 002; Thibaut Le Gouic; Philippe Rigollet (AISTATS, 2022)

The query complexity of sampling from strongly log-concave distributions in one dimension. - Sinho Chewi; Patrik R. Gerber; Chen Lu 002; Thibaut Le Gouic; Philippe Rigollet (COLT, 2022)

Fisher information lower bounds for sampling. - Sinho Chewi; Patrik Gerber; Holden Lee; Chen Lu 002 (ALT, 2023)

Query Lower Bounds for Log-concave Sampling. - Sinho Chewi; Jaume de Dios Pont; Jerry Li 001; Chen Lu 002; Shyam Narayanan (J. ACM, 2024)