Yu-Xiang Wang

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Alex SmolaAmazon Web ServicesVerified email at smola.org
Ryan TibshiraniProfessor of Statistics and Machine Learning, Carnegie Mellon UniversityVerified email at cmu.edu
Ming YinUniversity of California, Santa BarbaraVerified email at ucsb.edu
Veeranjaneyulu SadhanalaGoogleVerified email at google.com
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
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Kamyar AzizzadenesheliAssistant Professor at Purdue UniversityVerified email at purdue.edu
Jeremy BernsteinComputation and Neural Systems, CaltechVerified email at caltech.edu
Huan XuAlibaba IncVerified email at alibaba-inc.com
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Yu BaiResearch Scientist, Salesforce ResearchVerified email at salesforce.com
Borja BalleDeepMindVerified email at google.com
Yuqing ZhuUC Santa BarbaraVerified email at ucsb.edu
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
Xiaoyong JinUCSBVerified email at cs.ucsb.edu
James SharpnackUC Davis Statistics DepartmentVerified email at ucdavis.edu
Jing LeiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
loong fah CheongAssociate Professor of Electrical and Computer Engineering, National University of SingaporeVerified email at nus.edu.sg
Tengyang XieUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu

Yu-Xiang Wang

Assistant Professor of Computer Science, UC Santa Barbara

Verified email at cs.ucsb.edu - Homepage

Machine Learning Statistics Optimization


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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	506	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 Advances in Neural Information Processing Systems 32, 2019	281	2019
Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016	244	2016
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	234	2018
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	199	2015
Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013	198	2013
Provable subspace clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems 26, 2013	197	2013
Subsampled rényi differential privacy and analytical moments accountant YX Wang, B Balle, SP Kasiviswanathan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	172	2019
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	172	2018
Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015	158	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	146	2014
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	128	2017
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling T Xie, Y Ma, YX Wang Advances in Neural Information Processing Systems 32, 2019	93	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	79	2016
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018	67	2018
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	65	2016
Differentially private subspace clustering Y Wang, YX Wang, A Singh Advances in Neural Information Processing Systems 28, 2015	64	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	61	2016
Domain adaptation with conditional distribution matching and generalized label shift R Tachet des Combes, H Zhao, YX Wang, GJ Gordon Advances in Neural Information Processing Systems 33, 19276-19289, 2020	60	2020
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	58	2015

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