| 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 | 640* | 2015 |
| Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012 | 633 | 2012 |
| Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan Journal of Machine Learning Research 17 (102), 1-44, 2016 | 415 | 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 | 342* | 2013 |
| Disco: Distributed optimization for self-concordant empirical loss Y Zhang, X Lin International conference on machine learning, 362-370, 2015 | 319* | 2015 |
| Stochastic primal-dual coordinate method for regularized empirical risk minimization Y Zhang, L Xiao Journal of Machine Learning Research 18 (84), 1-42, 2017 | 292 | 2017 |
| A hitting time analysis of stochastic gradient langevin dynamics Y Zhang, P Liang, M Charikar Conference on Learning Theory, 1980-2022, 2017 | 230 | 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 | 181 | 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 | 138 | 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 | 130 | 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 | 124 | 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 | 111 | 2014 |
| On the learnability of fully-connected neural networks Y Zhang, J Lee, M Wainwright, MI Jordan Artificial Intelligence and Statistics, 83-91, 2017 | 94* | 2017 |
| Convexified convolutional neural networks Y Zhang, P Liang, MJ Wainwright International Conference on Machine Learning, 4044-4053, 2017 | 92 | 2017 |
| Defending against whitebox adversarial attacks via randomized discretization Y Zhang, P Liang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 91 | 2019 |
| 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 | 87 | 2011 |
| Task-oriented dialogue as dataflow synthesis J Andreas, J Bufe, D Burkett, C Chen, J Clausman, J Crawford, K Crim, ... Transactions of the Association for Computational Linguistics 8, 556-571, 2020 | 73 | 2020 |
| On Bayes risk lower bounds X Chen, Y Zhang Journal of Machine Learning Research 17 (218), 1-58, 2016 | 58 | 2016 |
| Macro grammars and holistic triggering for efficient semantic parsing Y Zhang, P Pasupat, P Liang arXiv preprint arXiv:1707.07806, 2017 | 57 | 2017 |
| What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? Y Zeng, H Zhang, J Zheng, J Xia, G Wei, Y Wei, Y Zhang, T Kong, R Song Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 43 | 2024 |
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
