Yuchen Zhang

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Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyVerified email at berkeley.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 XiaoFacebook AI ResearchVerified email at fb.com
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
Jason D. LeeAssistant Professor of Electrical Engineering and Computer Science , Princeton UniversityVerified email at princeton.edu
Botao HuStanford UniversityVerified email at stanford.edu
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
zheng chenPrinciple Researcher of Microsoft Research AsiaVerified email at microsoft.com
Adityanand GuntuboyinaAssociate Professor, Department of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Alex SmolaAmazon Web ServicesVerified email at smola.org
Panupong PasupatGoogleVerified email at cs.stanford.edu
Haixun WangVP of Engineering, Algorithm & Distinguished Scientist at InstacartVerified email at instacart.com

Yuchen Zhang

Principal Researcher at Microsoft

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	476*	2015
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	436	2012
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan The Journal of Machine Learning Research 17 (1), 3537-3580, 2016	337	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	274*	2013
DiSCO: Distributed optimization for self-concordant empirical loss Y Zhang, X Lin International conference on machine learning, 362-370, 2015	248*	2015
Stochastic primal-dual coordinate method for regularized empirical risk minimization Y Zhang, X Lin International Conference on Machine Learning, 353-361, 2015	236	2015
A hitting time analysis of stochastic gradient langevin dynamics Y Zhang, P Liang, M Charikar Conference on Learning Theory, 1980-2022, 2017	176	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	132	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	116	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	115	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	102	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	83	2014
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	83	2011
Convexified convolutional neural networks Y Zhang, P Liang, MJ Wainwright International Conference on Machine Learning, 4044-4053, 2017	81	2017
On the learnability of fully-connected neural networks Y Zhang, J Lee, M Wainwright, MI Jordan Artificial Intelligence and Statistics, 83-91, 2017	74*	2017
Macro grammars and holistic triggering for efficient semantic parsing Y Zhang, P Pasupat, P Liang arXiv preprint arXiv:1707.07806, 2017	42	2017
Defending against whitebox adversarial attacks via randomized discretization Y Zhang, P Liang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	39	2019
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators Y Zhang, MJ Wainwright, MI Jordan Electronic Journal of Statistics 11 (1), 752-799, 2017	33	2017
On Bayes risk lower bounds X Chen, A Guntuboyina, Y Zhang The Journal of Machine Learning Research 17 (1), 7687-7744, 2016	33	2016
Incorporating post-click behaviors into a click model F Zhong, D Wang, G Wang, W Chen, Y Zhang, Z Chen, H Wang Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010	32	2010

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