Yu-Xiang Wang

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Citations	6240	5647
h-index	38	34
i10-index	61	60

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Alex SmolaBoson AIVerified email at smola.org
Ming YinUniversity of California, Santa BarbaraVerified email at ucsb.edu
Ryan TibshiraniProfessor of StatisticsVerified email at berkeley.edu
Veeranjaneyulu SadhanalaGoogleVerified email at google.com
Yuqing ZhuUC Santa BarbaraVerified email at ucsb.edu
Yining WangAssistant professor, Warrington College of Business, University of FloridaVerified email at warrington.ufl.edu
Ziqi LiuAnt GroupVerified email at cmu.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Kamyar AzizzadenesheliNvidiaVerified email at nvidia.com
Jeremy BernsteinInstitute for Data, Systems, and Society, MITVerified email at mit.edu
Yu BaiResearch Scientist, Salesforce ResearchVerified email at salesforce.com
Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
Huan XuAlibaba IncVerified email at alibaba-inc.com
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
Xiaoyong JinUCSBVerified email at cs.ucsb.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Dheeraj BabyPhd student, University of California, Santa BarbaraVerified email at ucsb.edu
Borja BalleDeepMindVerified email at google.com
Wenhu ChenAssistant Professor at University of WaterlooVerified email at uwaterloo.ca
Shiyang LiSamsung Research AmericaVerified email at samsung.com

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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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	761	2019
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	758	2018
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	387	2018
Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016	282	2016
Subsampled rényi differential privacy and analytical moments accountant YX Wang, B Balle, SP Kasiviswanathan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	276	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	270	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	237	2015
Provable subspace clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems 26, 2013	224	2013
Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013	221	2013
Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015	184	2015
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	177	2017
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	156	2014
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022	151	2022
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	137	2019
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	119	2020
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018	95	2018
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	82	2016
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	71	2016
Differentially private subspace clustering Y Wang, YX Wang, A Singh Advances in Neural Information Processing Systems 28, 2015	71	2015
Provably efficient q-learning with low switching cost Y Bai, T Xie, N Jiang, YX Wang Advances in Neural Information Processing Systems 32, 2019	69	2019

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