Matteo Sesia

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Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Yaniv RomanoAssistant Professor of Electrical Engineering and Computer Science, Technion, IsraelAdresse e-mail validée de technion.ac.il
Chiara SabattiProfessor of Biomedical Data Science and of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Stephen BatesAssistant Professor, MIT EECSAdresse e-mail validée de cs.berkeley.edu
Stefano FavaroUniversity of Torino and Collegio Carlo AlbertoAdresse e-mail validée de unito.it
Yanfei ZhouUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
LIHUA LEIStanford UniversityAdresse e-mail validée de stanford.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Wenguang SunProfessor of Data Sciences and Operations, University of Southern CaliforniaAdresse e-mail validée de marshall.usc.edu
Shuangning LiUniversity of ChicagoAdresse e-mail validée de chicagobooth.edu
Xin TongAssociate Professor, Department of Data Sciences and Operations, University of Southern CaliforniaAdresse e-mail validée de marshall.usc.edu
Mario BerahaDepartment of Mathematics, Politecnico di MilanoAdresse e-mail validée de polimi.it
Y. X. Rachel WangSchool of Mathematics and Statistics, University of SydneyAdresse e-mail validée de sydney.edu.au
Lars LindemannAssistant Professor of Computer Science, University of Southern CaliforniaAdresse e-mail validée de usc.edu
vladimir svetnikMerck&Co.Adresse e-mail validée de merck.com

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Matteo Sesia

University of Southern California

Adresse e-mail validée de usc.edu - Page d'accueil

statistics data science machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Classification with Valid and Adaptive Coverage Y Romano, M Sesia, E Candès Advances in Neural Information Processing Systems 33, 2020	351	2020
Gene hunting with hidden Markov model knockoffs M Sesia, C Sabatti, E Candès Biometrika 106 (1), 1-18, 2019	196*	2019
Deep knockoffs Y Romano, M Sesia, E Candès Journal of the American Statistical Association, 1-12, 2019	182	2019
Testing for Outliers with Conformal p-values S Bates, E Candès, L Lei, Y Romano, M Sesia Annals of Statistics 51 (1), 149-178, 2023	164	2023
A comparison of some conformal quantile regression methods M Sesia, E Candès Stat 9 (1), e261, 2020	114	2020
Multi-resolution localization of causal variants across the genome M Sesia, E Katsevich, S Bates, E Candès, C Sabatti Nature communications 11 (1), 1093, 2020	97	2020
False discovery rate control in genome-wide association studies with population structure M Sesia, S Bates, E Candès, J Marchini, C Sabatti Proceedings of the National Academy of Sciences 118 (40), 2021	94*	2021
Conformal Prediction using Conditional Histograms M Sesia, Y Romano Advances in Neural Information Processing Systems 34, 2021	85	2021
Causal Inference in Genetic Trio Studies S Bates, M Sesia, C Sabatti, E Candès Proceedings of the National Academy of Sciences 117 (39), 24117-24126, 2020	66	2020
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning BS Einbinder, Y Romano, M Sesia, Y Zhou Advances in Neural Information Processing Systems 35, 2022	55	2022
Integrative conformal p-values for out-of-distribution testing with labelled outliers Z Liang, M Sesia, W Sun Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024	40*	2024
Knockoff: The Knockoff Filter for Controlled Variable Selection. R package E Patterson, M Sesia	29*	2018
Searching for robust associations with a multi-environment knockoff filter S Li, M Sesia, Y Romano, E Candès, C Sabatti Biometrika 109 (3), 611–629, 2022	28	2022
Derandomized novelty detection with FDR control via conformal e-values M Bashari, A Epstein, Y Romano, M Sesia Advances in Neural Information Processing Systems 37, 2024	23	2024
Conformal inference is (almost) free for neural networks trained with early stopping Z Liang, Y Zhou, M Sesia Proceedings of the 40th International Conference on Machine Learning 202 …, 2023	18	2023
Uncertainty in language models: Assessment through rank-calibration X Huang, S Li, M Yu, M Sesia, H Hassani, I Lee, O Bastani, E Dobriban Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024	16	2024
Conformal frequency estimation using discrete sketched data with coverage for distinct queries M Sesia, S Favaro, E Dobriban Journal of Machine Learning Research 24 (348), 1-80, 2023	13*	2023
Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets C Chia, M Sesia, CS Ho, SS Jeffrey, JA Dionne, E Candès, RT Howe IEEE Journal of Biomedical and Health Informatics, 2021	13*	2021
Robotic-assisted esophagectomy leads to significant reduction in postoperative acute pain: a retrospective clinical trial JP Hoelzen, KJ Sander, M Sesia, D Roy, E Rijcken, A Schnabel, ... Annals of surgical oncology 29 (12), 7498-7509, 2022	12	2022
Adaptive conformal classification with noisy labels M Sesia, YX Wang, X Tong Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023	10	2023

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