Yu-Xiang Wang

Cited by

	All	Since 2018
Citations	6954	6353
h-index	40	37
i10-index	65	64

1800

900

450

1350

201420152016201720182019202020212022202321 92 198 263 325 496 798 1321 1724 1676

Public access

View all

41 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Alex SmolaBoson AIVerified email at smola.org
Ming YinPrinceton UniversityVerified email at princeton.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
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Kamyar AzizzadenesheliNvidiaVerified email at nvidia.com
Jeremy BernsteinCSAIL, MITVerified email at mit.edu
Ziqi LiuAnt GroupVerified email at cmu.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
Dheeraj BabyPhd student, University of California, 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
Huan XuAlibaba IncVerified email at alibaba-inc.com
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Borja BalleDeepMindVerified email at google.com
Zachary C. LiptonProfessor in the Machine Learning Department at Carnegie Mellon; Chief Scientific Officer at AbridgeVerified email at cmu.edu
Wenhu ChenAssistant Professor at University of WaterlooVerified email at uwaterloo.ca

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
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	921	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	834	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	434	2018
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	306	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	299	2019
Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016	286	2016
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	246	2015
Provable subspace clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems 26, 2013	232	2013
Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013	227	2013
Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015	190	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	188	2017
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	171	2022
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	162	2014
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	143	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	133	2020
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018	101	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	87	2016
Provably efficient q-learning with low switching cost Y Bai, T Xie, N Jiang, YX Wang Advances in Neural Information Processing Systems 32, 2019	81	2019
Poisson subsampled Rényi differential privacy Y Zhu, YX Wang International Conference on Machine Learning, 7634-7642, 2019	75	2019
Differentially private subspace clustering Y Wang, YX Wang, A Singh Advances in Neural Information Processing Systems 28, 2015	75	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors