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ORCIDYuchen Zhang 0002
Person information
- affiliation: Stanford University, CA, USA
- affiliation (former): University of California Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
Other persons with the same name
- Yuchen Zhang — disambiguation page
- Yuchen Zhang 0001
![[0000-0002-1211-2427]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1211-2427")
— University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, Australia - Yuchen Zhang 0003 — Shaanxi Normal University, School of Computer Science, Xi'an, China
- Yuchen Zhang 0004 — Tsinghua University, School of Software, Beijing, China
- Yuchen Zhang 0005 — University of Zurich, Switzerland
- Yuchen Zhang 0006 — New York University, NY, USA (and 1 more)
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2020 – today
- 2021
[c15]Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Andrew Wolfe, Jacob Andreas, Dan Klein:
Value-Agnostic Conversational Semantic Parsing. ACL/IJCNLP (1) 2021: 3666-3681- 2020
- [j4]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:
Task-Oriented Dialogue as Dataflow Synthesis. Trans. Assoc. Comput. Linguistics 8: 556-571 (2020) - [i14]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:
Task-Oriented Dialogue as Dataflow Synthesis. CoRR abs/2009.11423 (2020)
2010 – 2019
- 2019
- [c14]Yuchen Zhang, Percy Liang:
Defending against Whitebox Adversarial Attacks via Randomized Discretization. AISTATS 2019: 684-693 - [i13]Yuchen Zhang, Percy Liang:
Defending against Whitebox Adversarial Attacks via Randomized Discretization. CoRR abs/1903.10586 (2019) - 2017
- [c13]Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan:
On the Learnability of Fully-Connected Neural Networks. AISTATS 2017: 83-91 - [c12]Yuchen Zhang, Percy Liang, Moses Charikar:
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. COLT 2017: 1980-2022 - [c11]Yuchen Zhang, Panupong Pasupat, Percy Liang:
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. EMNLP 2017: 1214-1223 - [c10]Yuchen Zhang, Percy Liang, Martin J. Wainwright:
Convexified Convolutional Neural Networks. ICML 2017: 4044-4053 - [i12]Yuchen Zhang, Percy Liang, Moses Charikar:
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. CoRR abs/1702.05575 (2017) - [i11]Yuchen Zhang, Panupong Pasupat, Percy Liang:
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing. CoRR abs/1707.07806 (2017) - 2016
- [b1]Yuchen Zhang:
Distributed Machine Learning with Communication Constraints. University of California, Berkeley, USA, 2016 - [j3]Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan:
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing. J. Mach. Learn. Res. 17: 102:1-102:44 (2016) - [c9]Yuchen Zhang, Jason D. Lee, Michael I. Jordan:
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time. ICML 2016: 993-1001 - [c8]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: 4116-4124 - [i10]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 abs/1609.00978 (2016) - [i9]Yuchen Zhang, Percy Liang, Martin J. Wainwright:
Convexified Convolutional Neural Networks. CoRR abs/1609.01000 (2016) - 2015
- [j2]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: 3299-3340 (2015) - [c7]Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan:
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. ICML 2015: 457-465 - [i8]Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan:
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. CoRR abs/1502.01403 (2015) - [i7]Yuchen Zhang, Michael I. Jordan:
Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms. CoRR abs/1506.07552 (2015) - [i6]Yuchen Zhang, Jason D. Lee, Michael I. Jordan:
ℓ1-regularized Neural Networks are Improperly Learnable in Polynomial Time. CoRR abs/1510.03528 (2015) - [i5]Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan:
Learning Halfspaces and Neural Networks with Random Initialization. CoRR abs/1511.07948 (2015) - 2014
- [c6]Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan:
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. COLT 2014: 921-948 - [c5]Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan:
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing. NIPS 2014: 1260-1268 - [i4]Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan:
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. CoRR abs/1402.1918 (2014) - [i3]John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Yuchen Zhang:
Information-theoretic lower bounds for distributed statistical estimation with communication constraints. CoRR abs/1405.0782 (2014) - 2013
- [j1]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Communication-efficient algorithms for statistical optimization. J. Mach. Learn. Res. 14(1): 3321-3363 (2013) - [c4]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Divide and Conquer Kernel Ridge Regression. COLT 2013: 592-617 - [c3]Yuchen Zhang, John C. Duchi, Michael I. Jordan, Martin J. Wainwright:
Information-theoretic lower bounds for distributed statistical estimation with communication constraints. NIPS 2013: 2328-2336 - [i2]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates. CoRR abs/1305.5029 (2013) - 2012
- [c2]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Communication-efficient algorithms for statistical optimization. CDC 2012: 6792 - [c1]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Communication-Efficient Algorithms for Statistical Optimization. NIPS 2012: 1511-1519 - [i1]Yuchen Zhang, John C. Duchi, Martin J. Wainwright:
Comunication-Efficient Algorithms for Statistical Optimization. CoRR abs/1209.4129 (2012)
Coauthor Index
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