Xiang Cheng

Affiliations:

University of California, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA

According to our database¹, Xiang Cheng authored at least 12 papers between 2014 and 2020.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2020

Stochastic Gradient and Langevin Processes.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Variational perspective on local graph clustering.

[BibT_eX]

[DOI]

Kimon Fountoulakis

Farbod Roosta-Khorasani

Julian Shun

Xiang Cheng

Michael W. Mahoney

Math. Program., 2019

Quantitative W<sub>1</sub> Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise.

[BibT_eX]

[DOI]

CoRR, 2019

Is There an Analog of Nesterov Acceleration for MCMC?

[BibT_eX]

[DOI]

CoRR, 2019

Quantitative Central Limit Theorems for Discrete Stochastic Processes.

[BibT_eX]

[DOI]

Xiang Cheng

Peter L. Bartlett

Michael I. Jordan

CoRR, 2019

2018

Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting.

[BibT_eX]

[DOI]

CoRR, 2018

Underdamped Langevin MCMC: A non-asymptotic analysis.

[BibT_eX]

[DOI]

Proceedings of the Conference On Learning Theory, 2018

Convergence of Langevin MCMC in KL-divergence.

[BibT_eX]

[DOI]

Xiang Cheng

Peter L. Bartlett

Proceedings of the Algorithmic Learning Theory, 2018

FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

FLAG: Fast Linearly-Coupled Adaptive Gradient Method.

[BibT_eX]

[DOI]

Xiang Cheng

Farbod Roosta-Khorasani

Peter L. Bartlett

Michael W. Mahoney

CoRR, 2016

Asymptotic behavior of ℓ<sub>p</sub>-based Laplacian regularization in semi-supervised learning.

[BibT_eX]

[DOI]

CoRR, 2016

2014

First-Order Open-Universe POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Xiang Cheng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...