| Estimating the coefficients of a mixture of two linear regressions by expectation maximization JM Klusowski, D Yang, WD Brinda IEEE Transactions on Information Theory 65 (6), 3515-3524, 2019 | 60 | 2019 |
| Two dimensional Yau-Hausdorff distance with applications on comparison of DNA and protein sequences K Tian, X Yang, Q Kong, C Yin, RL He, SST Yau PloS one 10 (9), e0136577, 2015 | 35 | 2015 |
| The planted matching problem: Sharp threshold and infinite-order phase transition J Ding, Y Wu, J Xu, D Yang Probability Theory and Related Fields 187 (1-2), 1-71, 2023 | 16 | 2023 |
| Optimal query complexity for private sequential learning against eavesdropping J Xu, K Xu, D Yang International Conference on Artificial Intelligence and Statistics, 2296-2304, 2021 | 13 | 2021 |
| Is it easier to count communities than find them? C Rush, F Skerman, AS Wein, D Yang arXiv preprint arXiv:2212.10872, 2022 | 9 | 2022 |
| Consistent recovery threshold of hidden nearest neighbor graphs J Ding, Y Wu, J Xu, D Yang IEEE Transactions on Information Theory 67 (8), 5211-5229, 2021 | 8 | 2021 |
| Consistent recovery threshold of hidden nearest neighbor graphs J Ding, Y Wu, J Xu, D Yang Conference on Learning Theory, 1540-1553, 2020 | 8 | 2020 |
| Estimation of convex supports from noisy measurements VE Brunel, JM Klusowski, D Yang | 7 | 2021 |
| The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers P Bellec, D Yang International Conference on Machine Learning, 746-755, 2020 | 7 | 2020 |
| Learner-Private Convex Optimization J Xu, K Xu, D Yang IEEE Transactions on Information Theory 69 (1), 528-547, 2022 | 5 | 2022 |
| Fair quantile regression D Yang, J Lafferty, D Pollard arXiv preprint arXiv:1907.08646, 2019 | 5 | 2019 |
| Posterior asymptotic normality for an individual coordinate in high-dimensional linear regression D Yang | 5 | 2019 |
| Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator D Pollard, D Yang arXiv preprint arXiv:1909.11773, 2019 | 4 | 2019 |
| Learner-private convex optimization J Xu, K Xu, D Yang International Conference on Machine Learning, 11570-11580, 2021 | 3 | 2021 |
| Hölder’s identity WD Brinda, JM Klusowski, D Yang Statistics & Probability Letters 148, 150-154, 2019 | 2 | 2019 |
| Remarks on Kneip's linear smoothers SR Künzel, D Pollard, D Yang arXiv preprint arXiv:1405.1744, 2014 | 1 | 2014 |
