Yu-Xiang Wang
Yu-Xiang Wang
Assistant Professor of Computer Science, UC Santa Barbara
Verified email at cs.ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
1902016
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
167*2016
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
1622013
Provable subspace clustering: When LRR meets SSC
YX Wang, H Xu, C Leng
Advances in Neural Information Processing Systems, 64-72, 2013
1442013
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
1202015
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
1102014
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
1022018
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
872015
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
502017
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
482018
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
452016
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
432016
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
Advances in Neural Information Processing Systems, 1000-1008, 2015
422015
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
412015
Graph connectivity in noisy sparse subspace clustering
Y Wang, YX Wang, A Singh
AISTATS, 2016
36*2016
Stability of matrix factorization for collaborative filtering
YX Wang, H Xu
International Conference on Machine Learning (ICML-12), 417--424, 2012
362012
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
342018
Subsampled R\'enyi Differential Privacy and Analytical Moments Accountant
YX Wang, B Balle, S Kasiviswanathan
arXiv preprint arXiv:1808.00087, 2018
322018
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
31*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
312015
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