Yu-Xiang Wang

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Citations	2559	2415
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i10-index	39	39

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Alex SmolaAmazon Web ServicesVerified email at smola.org
Ryan TibshiraniAssociate Professor of Statistics, and Machine Learning, Carnegie Mellon UniversityVerified email at cmu.edu
Yining WangAssistant professor, Warrington College of Business, University of FloridaVerified email at warrington.ufl.edu
Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
Veeranjaneyulu SadhanalaCarnegie Mellon UniversityVerified email at cs.cmu.edu
Huan XuAlibaba IncVerified email at alibaba-inc.com
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Kamyar AzizzadenesheliAssistant Professor at Purdue UniversityVerified email at purdue.edu
Jeremy BernsteinComputation and Neural Systems, CaltechVerified email at caltech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Jing LeiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
James SharpnackUC Davis Statistics DepartmentVerified email at ucdavis.edu
Yu BaiResearch Scientist, Salesforce ResearchVerified email at salesforce.com
Borja BalleDeepMindVerified email at google.com
loong fah CheongAssociate Professor of Electrical and Computer Engineering, National University of SingaporeVerified email at nus.edu.sg
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
Wei DaiApple; Carnegie Mellon UniversityVerified email at cs.cmu.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Chenlei Leng (冷琛雷)Professor of Statistics, University of WarwickVerified email at warwick.ac.uk
Seth R. Flaxmansenior lecturer at Imperial College LondonVerified email at imperial.ac.uk

Yu-Xiang Wang

Assistant Professor of Computer Science, UC Santa Barbara

Verified email at cs.ucsb.edu - Homepage

Machine Learning Statistics Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
signSGD: compressed optimisation for non-convex problems J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning (ICML-18), 560--569, 2018	282	2018
Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016	193	2016
Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013	186	2013
Provable Subspace Clustering: When LRR meets SSC. YX Wang, H Xu, C Leng NIPS 1 (2), 5, 2013	170	2013
Privacy for free: Posterior sampling and stochastic gradient monte carlo YX Wang, SE Fienberg, A Smola International Conference on Machine Learning (ICML-15) 951 (15), 2493-2502, 2015	159	2015
Block-sparse RPCA for salient motion detection Z Gao, LF Cheong, YX Wang IEEE transactions on pattern analysis and machine intelligence 36 (10), 1975 …, 2014	130	2014
Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015	118	2015
Detecting and Correcting for Label Shift with Black Box Predictors ZC Lipton, YX Wang, A Smola International Conference on Machine Learning (ICML-18), 3122--3130, 2018	116	2018
Subsampled Rényi differential privacy and analytical moments accountant YX Wang, B Balle, SP Kasiviswanathan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	87	2019
Optimal and adaptive off-policy evaluation in contextual bandits YX Wang, A Agarwal, M Dudik International Conference on Machine Learning (ICML-17), 3589--3597, 2017	87	2017
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising B Balle, YX Wang International Conference on Machine Learning (ICML-18), 394--403, 2018	84	2018
Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting S Li, X Jin, Y Xuan, X Zhou, W Chen, YX Wang, X Yan arXiv preprint arXiv:1907.00235, 2019	75	2019
Learning with differential privacy: Stability, learnability and the sufficiency and necessity of ERM principle YX Wang, J Lei, SE Fienberg Journal of Machine Learning Research 17 (183), 1-40, 2016	68	2016
Differentially private subspace clustering Y Wang, YX Wang, A Singh ACM, 2015	59	2015
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers V Sadhanala, YX Wang, R Tibshirani Advances in Neural Information Processing Systems (NIPS-16), 2016	56	2016
Difacto: Distributed factorization machines M Li, Z Liu, AJ Smola, YX Wang Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016	55	2016
Who supported Obama in 2012? Ecological inference through distribution regression SR Flaxman, YX Wang, AJ Smola Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	48	2015
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling T Xie, Y Ma, YX Wang arXiv preprint arXiv:1906.03393, 2019	45	2019
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018	42	2018
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms YX Wang, V Sadhanala, W Dai, W Neiswanger, S Sra, EP Xing International Conference on Machine Learning (ICML-16), 2016	41*	2016

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