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
97 2018 Minimax optimal conditional independence testing M Neykov, S Balakrishnan, L Wasserman
The Annals of Statistics 49 (4), 2151-2177, 2021
60 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
50 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
50 2014 Local permutation tests for conditional independence I Kim, M Neykov, S Balakrishnan, L Wasserman
The Annals of Statistics 50 (6), 3388-3414, 2022
40 2022 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
37 * 2019 Combinatorial inference for graphical models M Neykov, J Lu, H Liu
The Annals of Statistics 47 (2), 795-827, 2019
32 2019 Property testing in high-dimensional Ising models M Neykov, H Liu
The Annals of Statistics 47 (5), 2472-2503, 2019
26 2019 Agnostic estimation for misspecified phase retrieval models M Neykov, Z Wang, H Liu
Advances in Neural Information Processing Systems 29, 2016
24 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
24 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
13 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
13 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
11 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 Conditional independence testing for discrete distributions: Beyond G -tests I Kim, M Neykov, S Balakrishnan, L Wasserman
Electronic Journal of Statistics 18 (2), 4767-4794, 2024
6 2024 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 Non-asymptotic bounds for the Y Yi, M Neykov
Bernoulli 30 (1), 534-553, 2024
5 2024 Gaussian Regression with Convex Constraints M Neykov
AISTATS 2019 89 (PMLR), 31-38, 2019
4 2019 
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityE-mailová adresa ověřena na: northwestern.edu
