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
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
4102018
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
2302016
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
1932013
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
1902015
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
1892018
Provable Subspace Clustering: When LRR meets SSC.
YX Wang, H Xu, C Leng
NIPS 1 (2), 5, 2013
1812013
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
1732019
Subsampled rényi differential privacy and analytical moments accountant
YX Wang, B Balle, SP Kasiviswanathan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1402019
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
1402015
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
1392018
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
1372014
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
1182017
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling
T Xie, Y Ma, YX Wang
arXiv preprint arXiv:1906.03393, 2019
772019
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
752016
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
ACM, 2015
632015
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
602016
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
592016
Proxquant: Quantized neural networks via proximal operators
Y Bai, YX Wang, E Liberty
arXiv preprint arXiv:1810.00861, 2018
582018
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
522015
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
452016
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