Xiang Cheng
Xiang Cheng
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Underdamped Langevin MCMC: A non-asymptotic analysis
X Cheng, NS Chatterji, PL Bartlett, MI Jordan
Conference on Learning Theory, 300-323, 2018
1232018
Convergence of Langevin MCMC in KL-divergence
X Cheng, P Bartlett
Algorithmic Learning Theory, 186-211, 2018
772018
Sharp convergence rates for Langevin dynamics in the nonconvex setting
X Cheng, NS Chatterji, Y Abbasi-Yadkori, PL Bartlett, MI Jordan
arXiv preprint arXiv:1805.01648, 2018
752018
Asymptotic behavior of\ell_p-based laplacian regularization in semi-supervised learning
A El Alaoui, X Cheng, A Ramdas, MJ Wainwright, MI Jordan
Conference on Learning Theory, 879-906, 2016
632016
Is there an analog of Nesterov acceleration for MCMC?
YA Ma, N Chatterji, X Cheng, N Flammarion, P Bartlett, MI Jordan
arXiv preprint arXiv:1902.00996, 2019
472019
Exploiting optimization for local graph clustering
K Fountoulakis, X Cheng, J Shun, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1602.01886, 2016
24*2016
Stochastic Gradient and Langevin Processes
X Cheng, D Yin, PL Bartlett, MI Jordan
arXiv preprint arXiv:1907.03215, 2019
8*2019
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
S Chewi, C Lu, K Ahn, X Cheng, TL Gouic, P Rigollet
arXiv preprint arXiv:2012.12810, 2020
2020
The Interplay between Sampling and Optimization
X Cheng
UC Berkeley, 2020
2020
FLAG n’FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
X Cheng, F Roosta, S Palombo, P Bartlett, M Mahoney
International Conference on Artificial Intelligence and Statistics, 404-414, 2018
2018
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Articles 1–10