Yu-Xiang Wang
Yu-Xiang Wang
Assistant Professor of Computer Science, UC Santa Barbara
Verified email at cs.ucsb.edu - Homepage
Cited by
Cited by
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
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
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
Provable Subspace Clustering: When LRR meets SSC.
YX Wang, H Xu, C Leng
NIPS 1 (2), 5, 2013
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
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
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
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, 5243-5253, 2019
Subsampled rényi differential privacy and analytical moments accountant
YX Wang, B Balle, SP Kasiviswanathan
The 22nd International Conference on Artificial Intelligence and Statistics …, 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
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
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
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling
T Xie, Y Ma, YX Wang
arXiv preprint arXiv:1906.03393, 2019
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
ACM, 2015
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
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
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
Proxquant: Quantized neural networks via proximal operators
Y Bai, YX Wang, E Liberty
arXiv preprint arXiv:1810.00861, 2018
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
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