Matteo Sesia

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All published works

Action	Title	Year	Authors
+ PDF Chat	Robust Conformal Outlier Detection under Contaminated Reference Data	2025	Meshi Bashari Matteo Sesia Yaniv Romano
+ PDF Chat	Adaptive conformal classification with noisy labels	2024	Matteo Sesia Y. X. Rachel Wang Xin Tong
+ PDF Chat	Doubly Robust Conformalized Survival Analysis with Right-Censored Data	2024	Matteo Sesia Vladimir Svetnik
+ PDF Chat	Searching for local associations while controlling the false discovery rate	2024	Paula Gablenz Matteo Sesia Tianshu Sun Chiara Sabatti
+ PDF Chat	Conformal Classification with Equalized Coverage for Adaptively Selected Groups	2024	Yanfei Zhou Matteo Sesia
+ PDF Chat	Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems	2024	Ziyi Liang Tianmin Xie Xin Tong Matteo Sesia
+ PDF Chat	Uncertainty in Language Models: Assessment through Rank-Calibration	2024	Xinmeng Huang Shuo Li Mengxin Yu Matteo Sesia Hamed Hassani Insup Lee Osbert Bastani Edgar Dobriban
+ PDF Chat	Conformalized Adaptive Forecasting of Heterogeneous Trajectories	2024	Yan‐Fei Zhou Lars Lindemann Matteo Sesia
+	Integrative conformal <i>p</i>-values for out-of-distribution testing with labelled outliers	2024	Ziyi Liang Matteo Sesia Wenguang Sun
+ PDF Chat	Testing for outliers with conformal p-values	2023	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+	Conformal inference is (almost) free for neural networks trained with early stopping	2023	Ziyi Liang Yanfei Zhou Matteo Sesia
+	Derandomized Novelty Detection with FDR Control via Conformal E-values	2023	Meshi Bashari Amir Epstein Yaniv Romano Matteo Sesia
+	Adaptive conformal classification with noisy labels	2023	Matteo Sesia Y. X. Rachel Wang Xin Tong
+	Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views	2023	Mario Beraha Stefano Favaro Matteo Sesia
+	Conformal Frequency Estimation with Sketched Data	2022	Matteo Sesia Stefano Favaro
+	Training Uncertainty-Aware Classifiers with Conformalized Deep Learning	2022	Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou
+	Searching for subgroup-specific associations while controlling the false discovery rate	2022	Matteo Sesia Tianshu Sun
+	Coordinated Double Machine Learning	2022	Nitai Fingerhut Matteo Sesia Yaniv Romano
+	Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers	2022	Ziyi Liang Matteo Sesia Wenguang Sun
+	Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data	2022	Stefano Favaro Matteo Sesia
+	Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries	2022	Matteo Sesia Stefano Favaro Edgar Dobriban
+	Conformal Prediction using Conditional Histograms	2021	Matteo Sesia Yaniv Romano
+	Searching for robust associations with a multi-environment knockoff filter	2021	Shuangning Li Matteo Sesia Yaniv Romano Emmanuel J. Candès Chiara Sabatti
+	Conformal Prediction using Conditional Histograms.	2021	Matteo Sesia Yaniv Romano
+	Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets	2021	Charmaine Chia Matteo Sesia Chi-Sing Ho Stefanie S. Jeffrey Jennifer A. Dionne Emmanuel J. Candès Roger T. Howe
+	Conformal histogram regression	2021	Matteo Sesia Yaniv Romano
+	Multiple Outlier Testing with Conformal p-values	2021	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+	Searching for consistent associations with a multi-environment knockoff filter	2021	Shuangning Li Matteo Sesia Yaniv Romano Emmanuel J. Candès Chiara Sabatti
+	Conformal Prediction using Conditional Histograms	2021	Matteo Sesia Yaniv Romano
+	Testing for Outliers with Conformal p-values	2021	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia
+	Transfer learning in genome-wide association studies with knockoffs	2021	Shuangning Li Zhimei Ren Chiara Sabatti Matteo Sesia
+ PDF Chat	Causal inference in genetic trio studies	2020	Stephen Bates Matteo Sesia Chiara Sabatti Emmanuel J. Candès
+	Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra	2020	Charmaine Chia Matteo Sesia Chi-Sing Ho Stefanie S. Jeffrey Jennifer A. Dionne Emmanuel J. Candès Roger T. Howe
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+ PDF Chat	A comparison of some conformal quantile regression methods	2020	Matteo Sesia Emmanuel J. Candès
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+ PDF Chat	Deep Knockoffs	2019	Yaniv Romano Matteo Sesia Emmanuel J. Candès
+ PDF Chat	Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès
+ PDF Chat	Gene hunting with hidden Markov model knockoffs	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès

Common Coauthors

Coauthor	Papers Together
Emmanuel J. Candès	15
Yaniv Romano	9
Yaniv Romano	8
Chiara Sabatti	7
Stefano Favaro	4
Ziyi Liang	4
Lihua Lei	3
Stephen Bates	3
Shuangning Li	3
Yanfei Zhou	3
Wenguang Sun	2
Tianshu Sun	2
Stefanie S. Jeffrey	2
Edgar Dobriban	2
Y. X. Rachel Wang	2
Jennifer A. Dionne	2
Chi-Sing Ho	2
Charmaine Chia	2
Meshi Bashari	2
Xin Tong	2
Roger T. Howe	2
Bat-Sheva Einbinder	1
Mengxin Yu	1
Nitai Fingerhut	1
Zhimei Ren	1
Lars Lindemann	1
Osbert Bastani	1
Insup Lee	1
Xinmeng Huang	1
Mario Beraha	1
Amir Epstein	1
Stephen Bates	1
Hamed Hassani	1
Xin Tong	1
Vladimir Svetnik	1
Paula Gablenz	1
Shuo Li	1
Tianmin Xie	1
Yan‐Fei Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	9
+	Controlling the false discovery rate via knockoffs	2015	Rina Foygel Barber Emmanuel J. Candès	7
+ PDF Chat	Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection	2018	Emmanuel J. Candès Yingying Fan Lucas Janson Jinchi Lv	7
+ PDF Chat	Predictive inference with the jackknife+	2021	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani	6
+ PDF Chat	Gene hunting with hidden Markov model knockoffs	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès	5
+	Adaptive, Distribution-Free Prediction Intervals for Deep Networks	2020	Danijel Kivaranovic Kory D. Johnson Hannes Leeb	4
+ PDF Chat	Distribution-Free Predictive Inference for Regression	2017	Jing Lei Max G’Sell Alessandro Rinaldo Ryan J. Tibshirani Larry Wasserman	4
+ PDF Chat	The limits of distribution-free conditional predictive inference	2020	Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Ryan J. Tibshirani	4
+	IPAD: Stable Interpretable Forecasting with Knockoffs Inference	2019	Yingying Fan Jinchi Lv Mahrad Sharifvaghefi Yoshimasa Uematsu	4
+ PDF Chat	Accumulation Tests for FDR Control in Ordered Hypothesis Testing	2016	Ang Li Rina Foygel Barber	4
+ PDF Chat	Testing for outliers with conformal p-values	2023	Stephen Bates Emmanuel J. Candès Lihua Lei Yaniv Romano Matteo Sesia	4
+ PDF Chat	Nested conformal prediction and quantile out-of-bag ensemble methods	2021	Chirag Gupta Arun Kumar Kuchibhotla Aaditya Ramdas	4
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	3
+ PDF Chat	Genomic Control for Association Studies	1999	Bernie Devlin Kathryn Roeder	3
+ PDF Chat	Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’	2018	Matteo Sesia Chiara Sabatti Emmanuel J. Candès	3
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès	3
+ PDF Chat	Deep Knockoffs	2019	Yaniv Romano Matteo Sesia Emmanuel J. Candès	3
+ PDF Chat	Metropolized Knockoff Sampling	2020	Stephen Bates Emmanuel J. Candès Lucas Janson Wenshuo Wang	3
+ PDF Chat	False Discovery Rate Control in Cancer Biomarker Selection Using Knockoffs	2019	Arlina Shen Han Fu Kevin He Hui Jiang	3
+	Causal Inference Using Potential Outcomes	2005	Donald B. Rubin	3
+	Quantile Regression Forests	2006	Nicolai Meinshausen	3
+ PDF Chat	Causal inference in genetic trio studies	2020	Stephen Bates Matteo Sesia Chiara Sabatti Emmanuel J. Candès	2
+ PDF Chat	Causality matters in medical imaging	2020	Daniel C. Castro Ian D. Walker Ben Glocker	2
+	Classification with Valid and Adaptive Coverage	2020	Yaniv Romano Matteo Sesia Emmanuel J. Candès	2
+	Joint Causal Inference from Multiple Contexts	2020	Joris M. Mooij Sara Magliacane Tom Claassen	2
+ PDF Chat	Robust inference with knockoffs	2020	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth	2
+	Knowing what you know: valid confidence sets in multiclass and multilabel prediction.	2020	Maxime Cauchois Suyash Gupta John C. Duchi	2
+ PDF Chat	Conditional calibration for false discovery rate control under dependence	2022	William Fithian Lihua Lei	2
+	Predictive Inference Is Free with the Jackknife+-after-Bootstrap	2020	Byol Kim Xu Chen Rina Foygel Barber	2
+ PDF Chat	Network Dependence Can Lead to Spurious Associations and Invalid Inference	2020	Youjin Lee Elizabeth L. Ogburn	2
+	CD-split: efficient conformal regions in high dimensions.	2020	Rafael Izbicki Gilson T. Shimizu Rafael B. Stern	2
+	Near-ideal model selection by ℓ1 minimization	2009	Emmanuel J. Candès Yaniv Plan	2
+	Screening for Partial Conjunction Hypotheses	2008	Yoav Benjamini Ruth Heller	2
+	Multilayer knockoff filter: Controlled variable selection at multiple resolutions	2019	Eugene Katsevich Chiara Sabatti	2
+	Conformalized Quantile Regression	2019	Yaniv Romano Evan Patterson Emmanuel J. Candès	2
+ PDF Chat	Causal Inference by using Invariant Prediction: Identification and Confidence Intervals	2016	Jonas Peters Peter Bühlmann Nicolai Meinshausen	2
+ PDF Chat	Selection of Subsets of Regression Variables	1984	Alan J. Miller	2
+	Does obesity shorten life? The importance of well-defined interventions to answer causal questions	2008	Miguel A. Hernán Sarah Taubman	2
+ PDF Chat	Homophily and Contagion Are Generically Confounded in Observational Social Network Studies	2011	Cosma Rohilla Shalizi Andrew C. Thomas	2
+ PDF Chat	Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting	2015	Rafael Izbicki Ann B. Lee	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Neural Networks for Density Estimation	1998	Malik Magdon‐Ismail Amir F. Atiya	2
+ PDF Chat	Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach	2003	John D. Storey Jonathan Taylor David Siegmund	2
+	The knockoff filter for FDR control in group-sparse and multitask regression	2016	Ran Dai Rina Foygel Barber	2
+	An improved Bonferroni procedure for multiple tests of significance	1986	R. John Simes	2
+	Invariant Causal Prediction for Nonlinear Models	2018	Christina Heinze‐Deml Jonas Peters Nicolai Meinshausen	2
+	Flexible distribution-free conditional predictive bands using density estimators	2019	Rafael Izbicki Gilson T. Shimizu Rafael B. Stern	2
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	2
+ PDF Chat	A Direct Approach to False Discovery Rates	2002	John D. Storey	2
+ PDF Chat	Cross-conformal predictors	2013	Vladimir Vovk	2