Eugene Katsevich

Eugene Katsevich and Aaditya Ramdas (2020), Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings, Annals of Statistics, (to appear).

Eugene Katsevich and Aaditya Ramdas (Working), A theoretical treatment of conditional independence testing under Model-X.

Eugene Katsevich and Aaditya Ramdas (Working), The leave-one-covariate-out conditional randomization test.

Eugene Katsevich, Chiara Sabatti, Marina Bogomolov (Working), Filtering the rejection set while preserving false discovery rate control.

Eugene Katsevich and Chiara Sabatti (2020), Multilayer knockoff filter: Controlled variable selection at multiple resolutions, Annals of Applied Statistics, 13 (1), pp. 1-33.

Matteo Sesia, Eugene Katsevich, Stephen Bates, Emmanuel Candes, Chiara Sabatti (2020), Multi-resolution localization of causal variants across the genome, Nature Communications, 11:1093.

Junjie Zhu, Qian Zhu, Eugene Katsevich, Chiara Sabatti (2019), Exploratory gene ontology analysis with interactive visualization, Nature Scientific Reports, 9:7793.

Joakim Anden, Eugene Katsevich, Amit Singer (2015), Covariance estimation using conjugate gradient for 3D classification in cryo-EM, Proceedings of the IEEE International Symposium on Biomedical Imaging.

Eugene Katsevich, Alexander Katsevich, Amit Singer (2015), Covariance matrix estimation for the cryo-EM heterogeneity problem, SIAM Journal on Imaging Sciences, 8 (1), pp. 126-185.

Bibo Shi, Eugene Katsevich, Be-Shan Chiang, Alexander Katsevich, Alexander Zamyatin (2014), Image registration for motion estimation in cardiac CT, Proceedings of SPIE Medical Imaging, 9033.