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Yuchen Zhang
Yuchen Zhang
Research Scientist at ByteDance
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
633*2015
Communication-efficient algorithms for statistical optimization
Y Zhang, MJ Wainwright, JC Duchi
Advances in neural information processing systems 25, 2012
6252012
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
4142016
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
341*2013
Disco: Distributed optimization for self-concordant empirical loss
Y Zhang, X Lin
International conference on machine learning, 362-370, 2015
318*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
2912017
A hitting time analysis of stochastic gradient langevin dynamics
Y Zhang, P Liang, M Charikar
Conference on Learning Theory, 1980-2022, 2017
2292017
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
1792016
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
1372014
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
1302011
l1-regularized neural networks are improperly learnable in polynomial time
Y Zhang, JD Lee, MI Jordan
International Conference on Machine Learning, 993-1001, 2016
1242016
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
1102014
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
922017
Defending against whitebox adversarial attacks via randomized discretization
Y Zhang, P Liang
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
882019
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
872011
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
702020
Macro grammars and holistic triggering for efficient semantic parsing
Y Zhang, P Pasupat, P Liang
arXiv preprint arXiv:1707.07806, 2017
572017
On Bayes risk lower bounds
X Chen, Y Zhang
Journal of Machine Learning Research 17 (218), 1-58, 2016
572016
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
442024
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