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Yu-Xiang Wang
Yu-Xiang Wang
Associate Professor of Computer Science, UC Santa Barbara
Verifierad e-postadress på cs.ucsb.edu - Startsida
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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, 2019
10522019
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
8712018
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
4702018
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
3322018
Subsampled rényi differential privacy and analytical moments accountant
YX Wang, B Balle, SP Kasiviswanathan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
3152019
Trend Filtering on Graphs.
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
2912016
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
2532015
Provable subspace clustering: When LRR meets SSC
YX Wang, H Xu, C Leng
Advances in Neural Information Processing Systems 26, 2013
2342013
Noisy sparse subspace clustering
YX Wang, H Xu
International Conference on Machine Learning (ICML-13), 1-8, 2013
2302013
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
1992017
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
1972015
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
1962022
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
1632014
Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling
T Xie, Y Ma, YX Wang
Advances in Neural Information Processing Systems 32, 2019
1532019
Domain adaptation with conditional distribution matching and generalized label shift
R Tachet des Combes, H Zhao, YX Wang, GJ Gordon
Advances in Neural Information Processing Systems 33, 19276-19289, 2020
1392020
Proxquant: Quantized neural networks via proximal operators
Y Bai, YX Wang, E Liberty
arXiv preprint arXiv:1810.00861, 2018
1042018
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
912016
Poisson subsampled Rényi differential privacy
Y Zhu, YX Wang
International Conference on Machine Learning, 7634-7642, 2019
842019
Provably efficient q-learning with low switching cost
Y Bai, T Xie, N Jiang, YX Wang
Advances in Neural Information Processing Systems 32, 2019
842019
Bullseye polytope: A scalable clean-label poisoning attack with improved transferability
H Aghakhani, D Meng, YX Wang, C Kruegel, G Vigna
2021 IEEE European symposium on security and privacy (EuroS&P), 159-178, 2021
822021
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