Valid post-selection inference

5 June 2013

Papers citing "Valid post-selection inference"

50 / 152 papers shown

Title
Backward Conformal Prediction Etienne Gauthier Francis Bach Michael I. Jordan 12 0 0 19 May 2025
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation Nguyen Thang Loi Duong Tan Loc Vo Nguyen Le Duy 23 1 0 19 Oct 2024
Identification and Inference with Invalid Instruments Hyunseung Kang Zijian Guo Zhonghua Liu Dylan S. Small CML 22 3 0 28 Jul 2024
Planning for Gold: Sample Splitting for Valid Powerful Design of Observational Studies William Bekerman Abhinandan Dalal C. Ninno Dylan S Small CML 28 3 0 02 Jun 2024
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction Drew T. Nguyen Reese Pathak Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan 48 2 0 28 Mar 2024
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage Ying Jin Zhimei Ren 58 7 0 06 Mar 2024
Misconduct in Post-Selections and Deep Learning Juyang Weng AAML 21 0 0 13 Feb 2024
A constructive approach to selective risk control Zijun Gao Wenjie Hu Qingyuan Zhao 15 1 0 30 Jan 2024
Post-Selection Inference for Sparse Estimation Joe Suzuki 16 0 0 09 Oct 2023
Optimal Conditional Inference in Adaptive Experiments Jiafeng Chen Isaiah Andrews 28 3 0 21 Sep 2023
$Selective inference after convex clustering with $\ell_1$ penalization$ Selective inference after convex clustering with $\ell_1$ penalization François Bachoc Cathy Maugis-Rabusseau P. Neuvial 28 3 0 04 Sep 2023
EVM: Incorporating Model Checking into Exploratory Visual Analysis Alex Kale Ziyang Guo X. Qiao Jeffrey Heer Jessica Hullman 11 12 0 24 Aug 2023
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification Nadav Harel T. Routtenberg 19 2 0 22 Aug 2023
An Exact Sampler for Inference after Polyhedral Model Selection Sifan Liu TPM 30 3 0 20 Aug 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 40 7 0 24 Jul 2023
Bounded P-values in Parametric Programming-based Selective Inference Tomohiro Shiraishi Daiki Miwa Vo Nguyen Le Duy Ichiro Takeuchi 42 3 0 21 Jul 2023
Incentive-Theoretic Bayesian Inference for Collaborative Science Stephen Bates Michael I. Jordan M. Sklar Jake A. Soloff 29 5 0 07 Jul 2023
Information criteria for structured parameter selection in high dimensional tree and graph models M. Jansen 21 3 0 24 Jun 2023
Selective inference using randomized group lasso estimators for general models Yiling Huang Sarah Pirenne Snigdha Panigrahi G. Claeskens 27 4 0 24 Jun 2023
Discriminative calibration: Check Bayesian computation from simulations and flexible classifier Yuling Yao Justin Domke UQLM 32 2 0 24 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 51 75 0 21 May 2023
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision Siddhaarth Sarkar Arun K. Kuchibhotla 37 5 0 12 Apr 2023
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection Perrine Lacroix Marie-Laure Martin 27 0 0 03 Feb 2023
Factors other than climate change are currently more important in predicting how well fruit farms are doing financially Fabian Obster Heidi Bohle P. Pechan 27 1 0 11 Jan 2023
Exact Selective Inference with Randomization Snigdha Panigrahi Kevin Fry Jonathan E. Taylor 18 11 0 25 Dec 2022
Locally Simultaneous Inference Tijana Zrnic William Fithian 32 4 0 18 Dec 2022
Confidence Intervals for Unobserved Events Amichai Painsky 25 1 0 06 Nov 2022
Post-Selection Confidence Bounds for Prediction Performance Pascal Rink W. Brannath 32 1 0 24 Oct 2022
Prediction intervals with controlled length in the heteroscedastic Gaussian regression Christophe Denis Mohamed Hebiri A. Zaoui 15 0 0 08 Sep 2022
Small Tuning Parameter Selection for the Debiased Lasso Akira Shinkyu N. Sueishi 13 1 0 18 Aug 2022
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data Emadaldin Mozafari-Majd V. Koivunen 27 4 0 17 Aug 2022
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 31 8 0 11 Aug 2022
Graphical tools for selecting conditional instrumental sets Leonard Henckel Martin Buttenschon Marloes H. Maathuis CML 25 8 0 07 Aug 2022
Valid post-selection inference in Robust Q-learning Jeremiah Jones Ashkan Ertefaie Robert L. Strawderman OffRL 11 2 0 05 Aug 2022
Redundancy-aware unsupervised ranking based on game theory -- application to gene enrichment analysis Chiara Balestra C. Maj Emmanuel Mueller Andreas Mayr 14 0 0 22 Jul 2022
High Dimensional Generalised Penalised Least Squares Ilias Chronopoulos Katerina Chrysikou G. Kapetanios 38 2 0 14 Jul 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles Luqin Gan Lili Zheng Genevera I. Allen 46 6 0 05 Jun 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 42 30 0 19 May 2022
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models Yinan Li F. Liu 15 0 0 18 Apr 2022
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models P. Kramlinger U. Schneider Tatyana Krivobokova 23 2 0 08 Apr 2022
Black-box Selective Inference via Bootstrapping Sifan Liu Jelena Markovic-Voronov Jonathan E. Taylor CML TPM 34 2 0 28 Mar 2022
Bounds in $L^1$ Wasserstein distance on the normal approximation of general M-estimators François Bachoc M. Fathi 19 0 0 18 Nov 2021
Fast and Interpretable Consensus Clustering via Minipatch Learning Luqin Gan Genevera I. Allen 19 6 0 05 Oct 2021
Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion G. Claeskens Katarzyna Reluga S. Sperlich 8 2 0 22 Sep 2021
Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data Lan Luo Ruijian Han Yuanyuan Lin Jian Huang 22 6 0 10 Aug 2021
Inference for High Dimensional Censored Quantile Regression Z. Fei Qi Zheng H. Hong Yi Li 11 15 0 22 Jul 2021
Inference in High-dimensional Linear Regression Heather S. Battey Nancy Reid 26 4 0 22 Jun 2021
Spatially relaxed inference on high-dimensional linear models Jérôme-Alexis Chevalier Tuan-Binh Nguyen Bertrand Thirion Joseph Salmon 33 1 0 04 Jun 2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy Ichiro Takeuchi 40 34 0 11 May 2021
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters Niloofar Moosavi J. Haggstrom X. de Luna 40 14 0 05 May 2021