Xiang Cheng
Xiang Cheng
Geverifieerd e-mailadres voor berkeley.edu
Geciteerd door
Geciteerd door
Underdamped Langevin MCMC: A non-asymptotic analysis
X Cheng, NS Chatterji, PL Bartlett, MI Jordan
Conference on Learning Theory, 300-323, 2018
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
Convergence of Langevin MCMC in KL-divergence
X Cheng, P Bartlett
Proceedings of Machine Learning Research, Volume 83: Algorithmic Learning …, 2018
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
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
Exploiting optimization for local graph clustering
K Fountoulakis, X Cheng, J Shun, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1602.01886, 2016
Stochastic Gradient and Langevin Processes
X Cheng, D Yin, PL Bartlett, MI Jordan
arXiv preprint arXiv:1907.03215, 2019
The Interplay between Sampling and Optimization
X Cheng
UC Berkeley, 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
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