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 | 1422 | 2019 |
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 | 1012 | 2018 |
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 | 555 | 2018 |
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 | 395 | 2018 |
Subsampled rényi differential privacy and analytical moments accountant YX Wang, B Balle, SP Kasiviswanathan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 364 | 2019 |
Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016 | 313 | 2016 |
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 | 273 | 2015 |
Provable subspace clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems 26, 2013 | 241 | 2013 |
Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013 | 239 | 2013 |
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 | 221 | 2017 |
Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015 | 209 | 2015 |
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 | 187 | 2022 |
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 | 175 | 2019 |
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 | 166 | 2014 |
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 | 165* | 2020 |
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018 | 122 | 2018 |
Poisson subsampled Rényi differential privacy Y Zhu, YX Wang International Conference on Machine Learning, 7634-7642, 2019 | 112 | 2019 |
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 | 107 | 2021 |
Provably efficient q-learning with low switching cost Y Bai, T Xie, N Jiang, YX Wang Advances in Neural Information Processing Systems 32, 2019 | 101 | 2019 |
Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain YX Wang arXiv preprint arXiv:1803.02596, 2018 | 97 | 2018 |