Comunication-Efficient Algorithms for Statistical Optimization - Yuchen Zhang 002; John C. Duchi; Martin J. Wainwright (CoRR, 2012)

Divide and Conquer Kernel Ridge Regression. - Yuchen Zhang 002; John C. Duchi; Martin J. Wainwright (COLT, 2013)

Information-theoretic lower bounds for distributed statistical estimation with communication constraints. - Yuchen Zhang 002; John C. Duchi; Michael I. Jordan; Martin J. Wainwright (NIPS, 2013)

Communication-efficient algorithms for statistical optimization. - Yuchen Zhang 002; John C. Duchi; Martin J. Wainwright (J. Mach. Learn. Res., 2013)

Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. - Yuchen Zhang 002; Martin J. Wainwright; Michael I. Jordan (COLT, 2014)

Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. - Yuchen Zhang 002; Martin J. Wainwright; Michael I. Jordan (ICML, 2015)

Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms. - Yuchen Zhang 002; Michael I. Jordan (CoRR, 2015)

ℓ1-regularized Neural Networks are Improperly Learnable in Polynomial Time. - Yuchen Zhang 002; Jason D. Lee; Michael I. Jordan (CoRR, 2015)

Learning Halfspaces and Neural Networks with Random Initialization. - Yuchen Zhang 002; Jason D. Lee; Martin J. Wainwright; Michael I. Jordan (CoRR, 2015)

Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. - Yuchen Zhang 002; John C. Duchi; Martin J. Wainwright (J. Mach. Learn. Res., 2015)

L1-regularized Neural Networks are Improperly Learnable in Polynomial Time. - Yuchen Zhang 002; Jason D. Lee; Michael I. Jordan (ICML, 2016)

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences. - Chi Jin 001; Yuchen Zhang 002; Sivaraman Balakrishnan; Martin J. Wainwright; Michael I. Jordan (NIPS, 2016)

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing. - Yuchen Zhang 002; Xi Chen; Dengyong Zhou; Michael I. Jordan (J. Mach. Learn. Res., 2016)

Distributed Machine Learning with Communication Constraints. - Yuchen Zhang 002 (2016)

On the Learnability of Fully-Connected Neural Networks. - Yuchen Zhang 002; Jason D. Lee; Martin J. Wainwright; Michael I. Jordan (AISTATS, 2017)

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. - Yuchen Zhang 002; Percy Liang; Moses Charikar (COLT, 2017)

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. - Yuchen Zhang 002; Panupong Pasupat; Percy Liang (EMNLP, 2017)

Convexified Convolutional Neural Networks. - Yuchen Zhang 002; Percy Liang; Martin J. Wainwright (ICML, 2017)

Defending against Whitebox Adversarial Attacks via Randomized Discretization. - Yuchen Zhang 002; Percy Liang (AISTATS, 2019)

Task-Oriented Dialogue as Dataflow Synthesis. - Jacob Andreas; John Bufe; David Burkett; Charles Chen; Josh Clausman; Jean Crawford; Kate Crim; Jordan DeLoach; Leah Dorner; Jason Eisner; Hao Fang 002; Alan Guo; et al. (Trans. Assoc. Comput. Linguistics, 2020)

Value-Agnostic Conversational Semantic Parsing. - Emmanouil Antonios Platanios; Adam Pauls; Subhro Roy; Yuchen Zhang 002; Alexander Kyte; Alan Guo; Sam Thomson; Jayant Krishnamurthy; Jason Andrew Wolfe; Jacob Andreas; Dan Klein 001 (ACL/IJCNLP (1), 2021)