| 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 | 481* | 2015 |
| Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012 | 440 | 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 | 348 | 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 | 277* | 2013 |
| DiSCO: Distributed optimization for self-concordant empirical loss Y Zhang, X Lin International conference on machine learning, 362-370, 2015 | 251* | 2015 |
| Stochastic primal-dual coordinate method for regularized empirical risk minimization Y Zhang, X Lin International Conference on Machine Learning, 353-361, 2015 | 242 | 2015 |
| A hitting time analysis of stochastic gradient langevin dynamics Y Zhang, P Liang, M Charikar Conference on Learning Theory, 1980-2022, 2017 | 179 | 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 | 134 | 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 | 117 | 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 | 104 | 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 | 84 | 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 | 83 | 2014 |
| 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 | 44 | 2017 |
| Defending against whitebox adversarial attacks via randomized discretization Y Zhang, P Liang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 42 | 2019 |
| On Bayes risk lower bounds X Chen, A Guntuboyina, Y Zhang The Journal of Machine Learning Research 17 (1), 7687-7744, 2016 | 35 | 2016 |
| 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 | 34 | 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 | 32 | 2010 |
Martin WainwrightProfessor of EECS and Statistics, UC Berkeleyberkeley.edu의 이메일 확인됨
