Yu-Xiang Wang
Yu-Xiang Wang
Assistant Professor of Computer Science, UC Santa Barbara
Dirección de correo verificada de cs.ucsb.edu - Página principal
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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
1922018
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
1722013
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
1672016
Provable subspace clustering: When LRR meets SSC
YX Wang, H Xu, C Leng
Advances in Neural Information Processing Systems, 64-72, 2013
1542013
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
1442015
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
1242014
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
1022015
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
802018
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
742017
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
642018
Subsampled Rényi differential privacy and analytical moments accountant
YX Wang, B Balle, SP Kasiviswanathan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
602019
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
562016
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
Advances in Neural Information Processing Systems, 1000-1008, 2015
542015
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
522016
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
502016
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
452015
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
39*2016
Graph connectivity in noisy sparse subspace clustering
Y Wang, YX Wang, A Singh
AISTATS, 2016
37*2016
A deterministic analysis of noisy sparse subspace clustering for dimensionality-reduced data
Y Wang, YX Wang, A Singh
International Conference on Machine Learning, 1422-1431, 2015
372015
Stability of matrix factorization for collaborative filtering
YX Wang, H Xu
International Conference on Machine Learning (ICML-12), 417--424, 2012
372012
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Artículos 1–20