Yu-Xiang Wang
Yu-Xiang Wang
Assistant Professor of Computer Science, UC Santa Barbara
Verifierad e-postadress på cs.ucsb.edu - Startsida
TitelCiteras avÅr
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
1662016
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
1562013
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
147*2016
Provable subspace clustering: When LRR meets SSC
YX Wang, H Xu, C Leng
Advances in Neural Information Processing Systems, 64-72, 2013
1422013
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
1072015
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
982014
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
762015
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
672018
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
402015
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
382017
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
372016
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
372016
Graph connectivity in noisy sparse subspace clustering
Y Wang, YX Wang, A Singh
AISTATS, 2016
35*2016
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
Advances in Neural Information Processing Systems, 1000-1008, 2015
352015
Stability of matrix factorization for collaborative filtering
YX Wang, H Xu
International Conference on Machine Learning (ICML-12), 417--424, 2012
342012
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
322015
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
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
302018
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms
YX Wang, J Lei, SE Fienberg
Privacy in Statistical Databases (PSD-2016), 121-134, 2016
252016
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
222018
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Artiklar 1–20