| A unified theory of confidence regions and testing for high-dimensional estimating equations M Neykov, Y Ning, JS Liu, H Liu Statistical Science 33 (3), 427-443, 2018 | 98 | 2018 |
| Minimax optimal conditional independence testing M Neykov, S Balakrishnan, L Wasserman The Annals of Statistics 49 (4), 2151-2177, 2021 | 50 | 2021 |
| L1-regularized least squares for support recovery of high dimensional single index models with gaussian designs M Neykov, JS Liu, T Cai Journal of Machine Learning Research 17 (87), 1-37, 2016 | 47 | 2016 |
| Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing S Yu, KK Kumamaru, E George, RM Dunne, A Bedayat, M Neykov, ... Journal of biomedical informatics 52, 386-393, 2014 | 46 | 2014 |
| Misspecified nonconvex statistical optimization for sparse phase retrieval Z Yang, LF Yang, EX Fang, T Zhao, Z Wang, M Neykov Mathematical Programming, 1-27, 2019 | 36* | 2019 |
| Combinatorial inference for graphical models M Neykov, J Lu, H Liu The Annals of Statistics 47 (2), 795-827, 2019 | 32 | 2019 |
| Local permutation tests for conditional independence I Kim, M Neykov, S Balakrishnan, L Wasserman The Annals of Statistics 50 (6), 3388-3414, 2022 | 29 | 2022 |
| Property testing in high-dimensional Ising models M Neykov, H Liu The Annals of Statistics 47 (5), 2472-2503, 2019 | 24 | 2019 |
| Agnostic estimation for misspecified phase retrieval models M Neykov, Z Wang, H Liu Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
| On the characterization of a class of fisher-consistent loss functions and its application to boosting M Neykov, JS Liu, T Cai Journal of Machine Learning Research 17 (1), 2498-2529, 2016 | 23 | 2016 |
| Signed support recovery for single index models in high-dimensions M Neykov, Q Lin, JS Liu Annals of Mathematical Sciences and Applications 1 (2), 379-426, 2015 | 17 | 2015 |
| On the minimax rate of the Gaussian sequence model under bounded convex constraints M Neykov IEEE Transactions on Information Theory 69 (2), 1244-1260, 2022 | 10 | 2022 |
| High-temperature structure detection in ferromagnets Y Cao, M Neykov, H Liu Information and Inference: A Journal of the IMA 11 (1), 55-102, 2022 | 10 | 2022 |
| Minimax optimal conditional density estimation under total variation smoothness M Li, M Neykov, S Balakrishnan Electronic Journal of Statistics 16 (2), 3937-3972, 2022 | 10 | 2022 |
| Prior adaptive semi-supervised learning with application to EHR phenotyping Y Zhang, M Liu, M Neykov, T Cai Journal of Machine Learning Research 23 (83), 1-25, 2022 | 10 | 2022 |
| Isotonic regression meets LASSO M Neykov Electronic Journal of Statistics 13 (1), 710-746, 2019 | 6 | 2019 |
| Adaptive inferential method for monotone graph invariants J Lu, M Neykov, H Liu arXiv preprint arXiv:1707.09114, 2017 | 6 | 2017 |
| Conditional Independence Testing for Discrete Distributions: Beyond - and -tests I Kim, M Neykov, S Balakrishnan, L Wasserman arXiv preprint arXiv:2308.05373, 2023 | 4 | 2023 |
| Gaussian Regression with Convex Constraints M Neykov AISTATS 2019 89 (PMLR), 31-38, 2019 | 4 | 2019 |
| Surrogate aided unsupervised recovery of sparse signals in single index models for binary outcomes A Chakrabortty, M Neykov, R Carroll, T Cai arXiv preprint arXiv:1701.05230, 2017 | 4 | 2017 |
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityVerified email at northwestern.edu
