Yuchen Zhang
Yuchen Zhang
Senior Researcher at Microsoft
Verified email at microsoft.com - Homepage
Cited by
Cited by
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
Communication-efficient algorithms for statistical optimization
Y Zhang, JC Duchi, MJ Wainwright
The Journal of Machine Learning Research 14 (1), 3321-3363, 2013
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
Stochastic primal-dual coordinate method for regularized empirical risk minimization
Y Zhang, L Xiao
The Journal of Machine Learning Research 18 (1), 2939-2980, 2017
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, 2328-2336, 2013
DiSCO: Distributed optimization for self-concordant empirical loss
Y Zhang, X Lin
International conference on machine learning, 362-370, 2015
A hitting time analysis of stochastic gradient langevin dynamics
Y Zhang, P Liang, M Charikar
arXiv preprint arXiv:1702.05575, 2017
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
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
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, 4116-4124, 2016
l1-regularized neural networks are improperly learnable in polynomial time
Y Zhang, JD Lee, MI Jordan
International Conference on Machine Learning, 993-1001, 2016
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
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
On the learnability of fully-connected neural networks
Y Zhang, J Lee, M Wainwright, MI Jordan
Artificial Intelligence and Statistics, 83-91, 2017
Convexified convolutional neural networks
Y Zhang, P Liang, MJ Wainwright
International Conference on Machine Learning, 4044-4053, 2017
Macro grammars and holistic triggering for efficient semantic parsing
Y Zhang, P Pasupat, P Liang
arXiv preprint arXiv:1707.07806, 2017
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
Learning click models via probit bayesian inference
Y Zhang, D Wang, G Wang, W Chen, Z Zhang, B Hu, L Zhang
Proceedings of the 19th ACM international conference on Information and …, 2010
The antimagicness of the Cartesian product of graphs
Y Zhang, X Sun
Theoretical Computer Science 410 (8-10), 727-735, 2009
A noise-aware click model for web search
W Chen, D Wang, Y Zhang, Z Chen, A Singla, Q Yang
Proceedings of the fifth ACM international conference on Web search and data …, 2012
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