Yuchen Zhang

According to our database, Yuchen Zhang authored at least 21 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Value-Agnostic Conversational Semantic Parsing.

Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

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, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Andrew Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

Trans. Assoc. Comput. Linguistics, 2020

2019

Defending against Whitebox Adversarial Attacks via Randomized Discretization.

Yuchen Zhang, Percy Liang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Convexified Convolutional Neural Networks.

Yuchen Zhang, Percy Liang, Martin J. Wainwright

Proceedings of the 34th International Conference on Machine Learning, 2017

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing.

Yuchen Zhang, Panupong Pasupat, Percy Liang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics.

Yuchen Zhang, Percy Liang, Moses Charikar

Proceedings of the 30th Conference on Learning Theory, 2017

On the Learnability of Fully-Connected Neural Networks.

Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Distributed Machine Learning with Communication Constraints.

Yuchen Zhang

PhD thesis, 2016

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing.

Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan

J. Mach. Learn. Res., 2016

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences.

Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

L1-regularized Neural Networks are Improperly Learnable in Polynomial Time.

Yuchen Zhang, Jason D. Lee, Michael I. Jordan

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates.

Yuchen Zhang, John C. Duchi, Martin J. Wainwright

J. Mach. Learn. Res., 2015

Learning Halfspaces and Neural Networks with Random Initialization.

Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan

CoRR, 2015

ℓ₁-regularized Neural Networks are Improperly Learnable in Polynomial Time.

Yuchen Zhang, Jason D. Lee, Michael I. Jordan

CoRR, 2015

Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms.

Yuchen Zhang, Michael I. Jordan

CoRR, 2015

Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds.

Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Lower bounds on the performance of polynomial-time algorithms for sparse linear regression.

Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Communication-efficient algorithms for statistical optimization.

Yuchen Zhang, John C. Duchi, Martin J. Wainwright

J. Mach. Learn. Res., 2013

Information-theoretic lower bounds for distributed statistical estimation with communication constraints.

Yuchen Zhang, John C. Duchi, Michael I. Jordan, Martin J. Wainwright

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Divide and Conquer Kernel Ridge Regression.

Yuchen Zhang, John C. Duchi, Martin J. Wainwright

Proceedings of the COLT 2013, 2013

2012

Comunication-Efficient Algorithms for Statistical Optimization

Yuchen Zhang, John C. Duchi, Martin J. Wainwright

CoRR, 2012