Yuchen Zhang


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I'm a 4th year Ph.D. student in computer science at Berkeley, co-advised by Prof. Michael Jordan and Prof. Martin Wainwright. My research lies in the intersection of machine learning, optimization and statistics. A major part of my work explores the theoretical foundation of machine learning in distributed systems. I am also interested in applications to web search, online advertising, recommender systems etc.

Address:
495 Soda Hall,
Berkeley, CA 94709.

Email: yuczhang (at) eecs.berkeley.edu

 

Education

 

2011 - Present

University of California, Berkeley

 

Ph.D. student in Computer Science

2011 - 2013

University of California, Berkeley

 

Master of Arts in Statistics

2007 - 2011

Tsinghua University

 

Bachelor in Computer Science

 

Experiences

 

May 2014 - Aug 2014

Intern at Microsoft Research Redmond

May 2013 - Aug 2013

Intern at Google Mountain View

Nov 2009 - May 2011

Intern at Microsoft Research Asia

 

Preprints

 

Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization [arXiv]

Y. Zhang , L. Xiao

 

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing [arXiv]

Y. Zhang , X. Chen, D. Zhou, MI. Jordan

 

Optimality guarantees for distributed statistical estimation [arXiv]

J. Duchi, MI. Jordan, M. Wainwright, Y. Zhang

 

Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression [arXiv]

Y. Zhang , M. Wainwright, MI. Jordan

 

Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates [arXiv]

Y. Zhang , J. Duchi

 

Journal Publications

 

Communication-Efficient Algorithms for Statistical Optimization [pdf]

Y. Zhang , J. Duchi, M. Wainwright

Journal of Machine Learning Research

 

The antimagicness of the Cartesian product of graphs [pdf]
Y. Zhang and X. Sun.
Theoretical Computer Science

 

Conference Publications

 

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing [pdf]

Y. Zhang , X. Chen, D. Zhou, MI. Jordan

Neural Information Processing System (NIPS'14)

 

Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression [pdf]

Y. Zhang , M. Wainwright, MI. Jordan

Annual Conference on Learning Theory (COLT'14)

 

Taxonomy Discovery for Personalized Recommendation [pdf]

Y. Zhang, A. Ahmed, V. Josifovski, A. Smola

ACM International Conference on Web Search and Data Mining (WSDM'14)

 

Information-theoretic Lower Bounds for Distributed Statistical Estimation with Communication Constraints [pdf]

Y. Zhang, J. Duchi, MI. Jordan, M. Wainwright

Neural Information Processing System (NIPS'13)

 

Divide and Conquer Kernel Ridge Regression [pdf]

Y. Zhang , J. Duchi, M. Wainwright

Annual Conference on Learning Theory (COLT'13)

 
Communication-Efficient Algorithms for Statistical Optimization [pdf]

Y. Zhang , J. Duchi, M. Wainwright

Neural Information Processing System (NIPS'12)

 

Understanding Click Noise: A Noise-aware Click Model for Web Search [pdf]

W. Chen, D. Wang, Y. Zhang, Q. Yang.

ACM International Conference on Web Search and Data Mining (WSDM'12)

 

User-click Modeling for Understanding and Predicting Search-behavior [pdf]

Y. Zhang, W. Chen, D. Wang, Q. Yang.

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'11)

 

Characterize Search Intent Diversity into Click Models [pdf]

B. Hu, Y. Zhang, W. Chen, G. Wang, Q. Yang.  

International World Wide Web Conference (WWW'11)

 

Learning Click Model via Probit Bayesian Inference [pdf]

Y. Zhang, D. Wang, G. Wang, W. Chen, Z. Zhang, B. Hu, L. Zhang.

ACM Conference on Information and Knowledge Management (CIKM'10)


Extracting independent rules: a new perspective of boosting [pdf]

Y. Zhang and L. Zhang.

International Symposium on Artificial Intelligence and Mathematics (ISAIM'10).

 

Explore click models for search ranking [pdf]

D. Wang, W. Chen, G. Wang, Y. Zhang, B. Hu.

ACM Conference on Information and Knowledge Management (CIKM'10)

 

Incorporating Post-Click Behaviors Into a Click Model [pdf]
F. Zhong, D. Wang, G. Wang, W. Chen, Y. Zhang, Z. Chen, H. Wang

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'10)