| 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 | 1866 | 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 | 1183 | 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 | 640 | 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 | 500 | 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 | 432 | 2019 |
| Trend Filtering on Graphs. YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 17 (105), 1-41, 2016 | 330 | 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 | 291 | 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 | 248 | 2022 |
| Provable subspace clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems 26, 2013 | 248 | 2013 |
| Noisy sparse subspace clustering YX Wang, H Xu International Conference on Machine Learning (ICML-13), 1-8, 2013 | 243 | 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 | 236 | 2017 |
| Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015 | 219 | 2015 |
| 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 | 201* | 2020 |
| 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 | 194 | 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 | 173 | 2014 |
| Poisson subsampled Rényi differential privacy Y Zhu, YX Wang International Conference on Machine Learning, 7634-7642, 2019 | 141 | 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 | 129 | 2021 |
| Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018 | 128 | 2018 |
| Provable robust watermarking for ai-generated text X Zhao, P Ananth, L Li, YX Wang arXiv preprint arXiv:2306.17439, 2023 | 126 | 2023 |
| Provably efficient q-learning with low switching cost Y Bai, T Xie, N Jiang, YX Wang Advances in Neural Information Processing Systems 32, 2019 | 119 | 2019 |
Ming YinPrinceton UniversityZweryfikowany adres z princeton.edu
