Optimal Inference After Model Selection

9 October 2014

Papers citing "Optimal Inference After Model Selection"

48 / 48 papers shown

Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework Abhineet Agarwal Michael Xiao Rebecca L. Barter Omer Ronen Boyu Fan Bin Yu 34 0 0 13 May 2025
Post-Transfer Learning Statistical Inference in High-Dimensional Regression Nguyen Vu Khai Tam Cao Huyen My Vo Nguyen Le Duy 24 0 0 25 Apr 2025
Statistical Inference for Clustering-based Anomaly Detection Nguyen Thi Minh Phu Duong Tan Loc Vo Nguyen Le Duy 22 0 0 25 Apr 2025
Post-clustering Inference under Dependency Javier González-Delgado Juan Cortés P. Neuvial 19 1 0 18 Oct 2023
Optimal Conditional Inference in Adaptive Experiments Jiafeng Chen Isaiah Andrews 23 3 0 21 Sep 2023
Generalized Data Thinning Using Sufficient Statistics Ameer Dharamshi Anna Neufeld Keshav Motwani Lucy L. Gao Daniela Witten Jacob Bien 30 13 0 22 Mar 2023
Exact Selective Inference with Randomization Snigdha Panigrahi Kevin Fry Jonathan E. Taylor 16 11 0 25 Dec 2022
Locally Simultaneous Inference Tijana Zrnic William Fithian 32 4 0 18 Dec 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 26 8 0 11 Aug 2022
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging Snigdha Panigrahi Natasha Stewart Chandra S. Sripada Elizaveta Levina 29 2 0 27 May 2022
Selective inference for k-means clustering Yiqun T. Chen Daniela Witten 25 43 0 29 Mar 2022
Treatment Effect Estimation with Efficient Data Aggregation Snigdha Panigrahi Jingshen Wang Xuming He 32 4 0 23 Mar 2022
Data fission: splitting a single data point James Leiner Boyan Duan Larry A. Wasserman Aaditya Ramdas 38 32 0 21 Dec 2021
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control Jasin Machkour Michael Muma Daniel P. Palomar 24 11 0 12 Oct 2021
Exact Statistical Inference for the Wasserstein Distance by Selective Inference Vo Nguyen Le Duy Ichiro Takeuchi 35 14 0 29 Sep 2021
Whiteout: when do fixed-X knockoffs fail? Xiao Li William Fithian 18 9 0 30 Jun 2021
Tree-Values: selective inference for regression trees Anna Neufeld Lucy L. Gao Daniela Witten 29 20 0 15 Jun 2021
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model Diptesh Das Vo Nguyen Le Duy Hiroyuki Hanada Koji Tsuda Ichiro Takeuchi 26 17 0 09 Jun 2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 35 33 0 11 May 2021
Optimal multiple testing and design in clinical trials R. Heller A. Krieger Saharon Rosset 11 6 0 03 Apr 2021
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Vo Nguyen Le Duy S. Iwazaki Ichiro Takeuchi 27 17 0 05 Oct 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 30 33 0 21 Jul 2020
Conditional calibration for false discovery rate control under dependence William Fithian Lihua Lei 23 46 0 20 Jul 2020
Selective Inference for Additive and Linear Mixed Models David Rügamer Philipp F. M. Baumann S. Greven 34 11 0 15 Jul 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming Vo Nguyen Le Duy Hiroki Toda Ryota Sugiyama Ichiro Takeuchi 19 39 0 21 Feb 2020
More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim M. Yamada Wittawat Jitkrittum Y. Terada S. Matsui Hidetoshi Shimodaira 53 9 0 14 Oct 2019
Synthetic learner: model-free inference on treatments over time Davide Viviano Jelena Bradic CML 16 19 0 02 Apr 2019
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 31 26 0 15 Jun 2018
On the Post Selection Inference constant under Restricted Isometry Properties F. Bachoc Gilles Blanchard P. Neuvial 14 18 0 20 Apr 2018
Valid Inference Corrected for Outlier Removal Shuxiao Chen Jacob Bien 27 53 0 29 Nov 2017
Selective Inference for Change Point Detection in Multi-dimensional Sequences Yuta Umezu Ichiro Takeuchi 33 10 0 01 Jun 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 30 183 0 09 Feb 2017
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 13 49 0 30 Dec 2016
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? R. Tibshirani Saharon Rosset 19 20 0 30 Dec 2016
Uniformly valid confidence intervals post-model-selection F. Bachoc David Preinerstorfer Lukas Steinberger 32 48 0 03 Nov 2016
MAGIC: a general, powerful and tractable method for selective inference Xiaoying Tian Nan Bi Jonathan E. Taylor 20 22 0 09 Jul 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo R. Tibshirani Larry A. Wasserman 26 814 0 14 Apr 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 41 82 0 13 Apr 2016
Online Rules for Control of False Discovery Rate and False Discovery Exceedance Adel Javanmard Andrea Montanari 14 105 0 29 Mar 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 8 142 0 06 Mar 2016
A Minimax Theory for Adaptive Data Analysis Yu-Xiang Wang Jing Lei S. Fienberg 28 18 0 13 Feb 2016
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 14 185 0 16 Nov 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection R. Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 38 104 0 20 Jun 2015
Selective inference with unknown variance via the square-root LASSO Xiaoying Tian Joshua R. Loftus Jonathan E. Taylor 43 38 0 29 Apr 2015
Adaptive Concentration of Regression Trees, with Application to Random Forests Stefan Wager G. Walther 30 25 0 22 Mar 2015
Asymptotics of selective inference Xiaoying Tian Jonathan E. Taylor 29 68 0 15 Jan 2015
Valid confidence intervals for post-model-selection predictors F. Bachoc Hannes Leeb B. M. Potscher 39 53 0 15 Dec 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 109 160 0 17 Jan 2013