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Dana Yang
Dana Yang
Assistant Professor, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
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
512019
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
342015
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
132023
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
132021
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
82021
Consistent recovery threshold of hidden nearest neighbor graphs
J Ding, Y Wu, J Xu, D Yang
Conference on Learning Theory, 1540-1553, 2020
82020
Estimation of convex supports from noisy measurements
VE Brunel, JM Klusowski, D Yang
72021
Is it easier to count communities than find them?
C Rush, F Skerman, AS Wein, D Yang
arXiv preprint arXiv:2212.10872, 2022
62022
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
62020
Fair quantile regression
D Yang, J Lafferty, D Pollard
arXiv preprint arXiv:1907.08646, 2019
52019
Posterior asymptotic normality for an individual coordinate in high-dimensional linear regression
D Yang
52019
Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator
D Pollard, D Yang
arXiv preprint arXiv:1909.11773, 2019
42019
Learner-Private Convex Optimization
J Xu, K Xu, D Yang
IEEE Transactions on Information Theory 69 (1), 528-547, 2022
22022
Learner-private convex optimization
J Xu, K Xu, D Yang
International Conference on Machine Learning, 11570-11580, 2021
22021
Hölder’s identity
WD Brinda, JM Klusowski, D Yang
Statistics & Probability Letters 148, 150-154, 2019
22019
Remarks on Kneip's linear smoothers
SR Künzel, D Pollard, D Yang
arXiv preprint arXiv:1405.1744, 2014
12014
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