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
Provable Subspace Clustering: When LRR meets SSC.
YX Wang, H Xu, C Leng
NIPS 1 (2), 5, 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
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
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
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
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
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
ACM, 2015
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling
T Xie, Y Ma, YX Wang
arXiv preprint arXiv:1906.03393, 2019
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
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
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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