Yuchen Zhang
Yuchen Zhang
Principal Researcher at Microsoft
Verified email at microsoft.com - Homepage
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
427*2015
Communication-efficient algorithms for statistical optimization
Y Zhang, JC Duchi, MJ Wainwright
The Journal of Machine Learning Research 14 (1), 3321-3363, 2013
3972013
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
3262016
Information-theoretic lower bounds for distributed statistical estimation with communication constraints.
Y Zhang, JC Duchi, MI Jordan, MJ Wainwright
NIPS, 2328-2336, 2013
238*2013
DiSCO: Distributed optimization for self-concordant empirical loss
Y Zhang, X Lin
International conference on machine learning, 362-370, 2015
235*2015
Stochastic primal-dual coordinate method for regularized empirical risk minimization
Y Zhang, X Lin
International Conference on Machine Learning, 353-361, 2015
2302015
A hitting time analysis of stochastic gradient langevin dynamics
Y Zhang, P Liang, M Charikar
Conference on Learning Theory, 1980-2022, 2017
1562017
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
1132011
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
1112016
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
1102014
l1-regularized neural networks are improperly learnable in polynomial time
Y Zhang, JD Lee, MI Jordan
International Conference on Machine Learning, 993-1001, 2016
962016
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
802011
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
752014
On the learnability of fully-connected neural networks
Y Zhang, J Lee, M Wainwright, MI Jordan
Artificial Intelligence and Statistics, 83-91, 2017
73*2017
Convexified convolutional neural networks
Y Zhang, P Liang, MJ Wainwright
International Conference on Machine Learning, 4044-4053, 2017
702017
Macro grammars and holistic triggering for efficient semantic parsing
Y Zhang, P Pasupat, P Liang
arXiv preprint arXiv:1707.07806, 2017
382017
Defending against whitebox adversarial attacks via randomized discretization
Y Zhang, P Liang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
312019
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
312010
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
292017
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
272010
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Articles 1–20