Yuchen Zhang

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Citations	4558	3060
h-index	26	21
i10-index	31	26

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Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyVerified email at mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Weizhu ChenMicrosoftVerified email at microsoft.com
Xi ChenProfessor at New York UniversityVerified email at nyu.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Lin XiaoMeta AI, FAIR (Fundamental AI Research)Verified email at meta.com
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Botao Amber HuReality Design LabVerified email at reality.design
Moses CharikarProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityVerified email at stat.cmu.edu
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Alex SmolaBoson AIVerified email at smola.org
Vanja JosifovskiCTO, Homes, AirbnbVerified email at airbnb.com
Panupong PasupatGoogleVerified email at cs.stanford.edu
Haixun WangVP of Engineering, Algorithm & Distinguished Scientist at InstacartVerified email at instacart.com
Zhihua ZhangProfessor of Computer Science, Shanghai Jiao Tong UniversityVerified email at zju.edu.cn

Yuchen Zhang

Research Scientist at ByteDance

Verified email at microsoft.com - Homepage

Machine Learning NLP


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Divide and conquer kernel ridge regression: A distributed algorithm with minimax optimal rates Y Zhang, J Duchi, M Wainwright The Journal of Machine Learning Research 16 (1), 3299-3340, 2015	657*	2015
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	648	2012
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan Journal of Machine Learning Research 17 (102), 1-44, 2016	423	2016
Information-theoretic lower bounds for distributed statistical estimation with communication constraints Y Zhang, J Duchi, MI Jordan, MJ Wainwright Advances in Neural Information Processing Systems 26, 2013	350*	2013
Disco: Distributed optimization for self-concordant empirical loss Y Zhang, X Lin International conference on machine learning, 362-370, 2015	326*	2015
Stochastic primal-dual coordinate method for regularized empirical risk minimization Y Zhang, L Xiao Journal of Machine Learning Research 18 (84), 1-42, 2017	293	2017
A hitting time analysis of stochastic gradient langevin dynamics Y Zhang, P Liang, M Charikar Conference on Learning Theory, 1980-2022, 2017	232	2017
Local maxima in the likelihood of gaussian mixture models: Structural results and algorithmic consequences C Jin, Y Zhang, S Balakrishnan, MJ Wainwright, MI Jordan Advances in neural information processing systems 29, 2016	184	2016
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression Y Zhang, MJ Wainwright, MI Jordan Conference on Learning Theory, 921-948, 2014	139	2014
User-click modeling for understanding and predicting search-behavior Y Zhang, W Chen, D Wang, Q Yang Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	131	2011
l1-regularized neural networks are improperly learnable in polynomial time Y Zhang, JD Lee, MI Jordan International Conference on Machine Learning, 993-1001, 2016	124	2016
Taxonomy discovery for personalized recommendation Y Zhang, A Ahmed, V Josifovski, A Smola Proceedings of the 7th ACM international conference on Web search and data …, 2014	114	2014
On the learnability of fully-connected neural networks Y Zhang, J Lee, M Wainwright, MI Jordan Artificial Intelligence and Statistics, 83-91, 2017	94*	2017
Convexified convolutional neural networks Y Zhang, P Liang, MJ Wainwright International Conference on Machine Learning, 4044-4053, 2017	93	2017
Defending against whitebox adversarial attacks via randomized discretization Y Zhang, P Liang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	92	2019
Characterizing search intent diversity into click models B Hu, Y Zhang, W Chen, G Wang, Q Yang Proceedings of the 20th international conference on World wide web, 17-26, 2011	87	2011
Task-oriented dialogue as dataflow synthesis J Andreas, J Bufe, D Burkett, C Chen, J Clausman, J Crawford, K Crim, ... Transactions of the Association for Computational Linguistics 8, 556-571, 2020	77	2020
On Bayes risk lower bounds X Chen, Y Zhang Journal of Machine Learning Research 17 (218), 1-58, 2016	61	2016
Macro grammars and holistic triggering for efficient semantic parsing Y Zhang, P Pasupat, P Liang arXiv preprint arXiv:1707.07806, 2017	59	2017
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? Y Zeng, H Zhang, J Zheng, J Xia, G Wei, Y Wei, Y Zhang, T Kong, R Song Proceedings of the 2024 Conference of the North American Chapter of the …, 2024	47	2024

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