Optimal Inference After Model Selection

9 October 2014

Papers citing "Optimal Inference After Model Selection"

36 / 36 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 24 0 0 13 May 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-Transfer Learning Statistical Inference in High-Dimensional Regression Nguyen Vu Khai Tam Cao Huyen My Vo Nguyen Le Duy 19 0 0 25 Apr 2025
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 23 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 26 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 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 24 4 0 23 Mar 2022
Data fission: splitting a single data point James Leiner Boyan Duan Larry A. Wasserman Aaditya Ramdas 33 32 0 21 Dec 2021
Exact Statistical Inference for the Wasserstein Distance by Selective Inference Vo Nguyen Le Duy Ichiro Takeuchi 27 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 24 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 19 17 0 09 Jun 2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 23 33 0 11 May 2021
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Vo Nguyen Le Duy S. Iwazaki Ichiro Takeuchi 14 17 0 05 Oct 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 26 33 0 21 Jul 2020
Selective Inference for Additive and Linear Mixed Models David Rügamer Philipp F. M. Baumann S. Greven 16 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 11 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 50 9 0 14 Oct 2019
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 26 26 0 15 Jun 2018
Selective Inference for Change Point Detection in Multi-dimensional Sequences Yuta Umezu Ichiro Takeuchi 22 10 0 01 Jun 2017
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? R. Tibshirani Saharon Rosset 11 20 0 30 Dec 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 26 812 0 14 Apr 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 33 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 6 142 0 06 Mar 2016
A Minimax Theory for Adaptive Data Analysis Yu-Xiang Wang Jing Lei S. Fienberg 23 18 0 13 Feb 2016
Uniform Asymptotic Inference and the Bootstrap After Model Selection R. Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 27 104 0 20 Jun 2015
Selective inference with unknown variance via the square-root LASSO Xiaoying Tian Joshua R. Loftus Jonathan E. Taylor 35 38 0 29 Apr 2015
Adaptive Concentration of Regression Trees, with Application to Random Forests Stefan Wager G. Walther 22 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 31 54 0 15 Dec 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 104 160 0 17 Jan 2013