Yuchen Zhang

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 13

Top Venues

CoRR

NIPS

J. Mach. Learn. Res.

ICML

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Yuchen Zhang, Percy Liang
Defending against Whitebox Adversarial Attacks via Randomized Discretization. AISTATS (2019)
Yuchen Zhang, Percy Liang
Defending against Whitebox Adversarial Attacks via Randomized Discretization. CoRR (2019)
Yuchen Zhang, Panupong Pasupat, Percy Liang
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. CoRR (2017)
Yuchen Zhang, Percy Liang, Moses Charikar
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. CoRR (2017)
Yuchen Zhang, Panupong Pasupat, Percy Liang
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. EMNLP (2017)
Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan
On the Learnability of Fully-Connected Neural Networks. AISTATS (2017)
Yuchen Zhang, Percy Liang, Martin J. Wainwright
Convexified Convolutional Neural Networks. ICML (2017)
Yuchen Zhang, Percy Liang, Moses Charikar
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. COLT (2017)
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences. CoRR (2016)
Yuchen Zhang, Percy Liang, Martin J. Wainwright
Convexified Convolutional Neural Networks. CoRR (2016)
Yuchen Zhang, Jason D. Lee, Michael I. Jordan
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time. ICML (2016)
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences. NIPS (2016)
Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing. J. Mach. Learn. Res. 17 (2016)
Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan
Learning Halfspaces and Neural Networks with Random Initialization. CoRR (2015)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. J. Mach. Learn. Res. 16 (2015)
Yuchen Zhang, Michael I. Jordan
Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms. CoRR (2015)
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. CoRR (2015)
Yuchen Zhang, Jason D. Lee, Michael I. Jordan
-regularized Neural Networks are Improperly Learnable in Polynomial Time. CoRR (2015)
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. ICML (2015)
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. COLT (2014)
Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing. NIPS (2014)
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. CoRR (2014)
John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Yuchen Zhang
Information-theoretic lower bounds for distributed statistical estimation with communication constraints. CoRR (2014)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Divide and Conquer Kernel Ridge Regression. COLT (2013)
Yuchen Zhang, John C. Duchi, Michael I. Jordan, Martin J. Wainwright
Information-theoretic lower bounds for distributed statistical estimation with communication constraints. NIPS (2013)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Communication-efficient algorithms for statistical optimization. J. Mach. Learn. Res. 14 (1) (2013)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates CoRR (2013)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Comunication-Efficient Algorithms for Statistical Optimization CoRR (2012)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Communication-efficient algorithms for statistical optimization. CDC (2012)
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
Communication-Efficient Algorithms for Statistical Optimization. NIPS (2012)

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Publication Activity (10 Years)

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Yuchen Zhang