Valid post-selection inference

5 June 2013

Papers citing "Valid post-selection inference"

50 / 152 papers shown

Title
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation Toshiaki Tsukurimichi Yu Inatsu Vo Nguyen Le Duy Ichiro Takeuchi 47 22 0 22 Apr 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling Zijian Guo CML 29 13 0 14 Apr 2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms A. Eloyan Sherri Rose TPM 31 0 0 14 Apr 2021
Optimal multiple testing and design in clinical trials R. Heller A. Krieger Saharon Rosset 16 6 0 03 Apr 2021
Forward Stability and Model Path Selection N. Kissel L. Mentch 42 13 0 05 Mar 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach Kazuya Sugiyama Vo Nguyen Le Duy Ichiro Takeuchi 17 7 0 25 Dec 2020
Hybrid Confidence Intervals for Informative Uniform Asymptotic Inference After Model Selection Adam Mccloskey 9 7 0 25 Nov 2020
Post-Selection Inference via Algorithmic Stability Tijana Zrnic Michael I. Jordan 6 17 0 18 Nov 2020
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks Shiyun Xu Zhiqi Bu 11 1 0 01 Nov 2020
Post-selection inference with HSIC-Lasso Tobias Freidling B. Poignard Héctor Climente-González M. Yamada 11 14 0 29 Oct 2020
A Multi-resolution Theory for Approximating Infinite- $p$ -Zero- $n$ : Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off Xinran Li X. Meng 15 13 0 17 Oct 2020
Informative Goodness-of-Fit for Multivariate Distributions S. Algeri 16 4 0 01 Sep 2020
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 34 2 0 17 Aug 2020
Bayesian Selective Inference: Non-informative Priors D. G. Rasines G. A. Young 8 0 0 11 Aug 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 38 33 0 21 Jul 2020
Selective Inference for Additive and Linear Mixed Models David Rügamer Philipp F. M. Baumann S. Greven 44 11 0 15 Jul 2020
FANOK: Knockoffs in Linear Time Armin Askari Quentin Rebjock Alexandre d’Aspremont L. Ghaoui 20 4 0 15 Jun 2020
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 32 49 0 15 Jun 2020
Inject Machine Learning into Significance Test for Misspecified Linear Models Jiaye Teng Yang Yuan 19 2 0 04 Jun 2020
Selective Inference for Latent Block Models C. Watanabe Taiji Suzuki 8 4 0 27 May 2020
Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics Snigdha Panigrahi Shariq Mohammed A. Rao V. Baladandayuthapani 10 11 0 24 Apr 2020
Testing Conditional Independence via Quantile Regression Based Partial Copulas Lasse Petersen N. Hansen 19 14 0 29 Mar 2020
Robust Q-learning Ashkan Ertefaie J. McKay D. Oslin Robert L. Strawderman OffRL OOD 6 27 0 27 Mar 2020
All of Linear Regression Arun K. Kuchibhotla L. Brown A. Buja Junhui Cai 21 8 0 14 Oct 2019
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 19 53 0 14 Aug 2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models Fei Wang Ling Zhou Lu Tang P. Song 29 4 0 04 Aug 2019
Multiple Testing and Variable Selection along the path of the Least Angle Regression Jean-marc Azais Yohann De Castro 21 1 0 28 Jun 2019
Confidence Intervals for Selected Parameters Y. Benjamini Yotam Hechtlinger Philip B. Stark 15 14 0 02 Jun 2019
A Normality Test for High-dimensional Data based on a Nearest Neighbor Approach Hao Chen Yin Xia 26 7 0 10 Apr 2019
Only Closed Testing Procedures are Admissible for Controlling False Discovery Proportions J. Goeman J. Hemerik Aldo Solari 22 43 0 15 Jan 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension Yinqiu He Tiefeng Jiang Jiyang Wen Gongjun Xu 42 11 0 17 Dec 2018
Model Selection Techniques -- An Overview Jie Ding Vahid Tarokh Yuhong Yang 34 258 0 22 Oct 2018
Admissibility of the usual confidence set for the mean of a univariate or bivariate normal population: The unknown-variance case Hannes Leeb Paul Kabaila 20 4 0 20 Sep 2018
Prediction out-of-sample using block shrinkage estimators: model selection and predictive inference Hannes Leeb Nina Senitschnig 13 1 0 12 Sep 2018
Use Of Vapnik-Chervonenkis Dimension in Model Selection Merlin Mpoudeu 6 3 0 20 Aug 2018
Post hoc false positive control for spatially structured hypotheses Guillermo Durand Gilles Blanchard P. Neuvial Étienne Roquain 11 9 0 04 Jul 2018
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 39 26 0 15 Jun 2018
Valid Post-selection Inference in Assumption-lean Linear Regression Arun K. Kuchibhotla L. Brown A. Buja E. George Linda H. Zhao 16 13 0 11 Jun 2018
Inference for $L_2$ -Boosting David Rügamer S. Greven 8 0 0 04 May 2018
A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results Beau Coker Cynthia Rudin Gary King 27 29 0 23 Apr 2018
On the Post Selection Inference constant under Restricted Isometry Properties François Bachoc Gilles Blanchard P. Neuvial 28 18 0 20 Apr 2018
On the length of post-model-selection confidence intervals conditional on polyhedral constraints D. Kivaranovic Hannes Leeb 21 17 0 05 Mar 2018
On overfitting and post-selection uncertainty assessments Liang Hong Todd A. Kuffner Ryan Martin 11 26 0 06 Dec 2017
Debiasing the Debiased Lasso with Bootstrap Sai Li 30 14 0 09 Nov 2017
Orthogonal Machine Learning: Power and Limitations Lester W. Mackey Vasilis Syrgkanis Ilias Zadik 16 42 0 01 Nov 2017
Specification tests in semiparametric transformation models - a multiplier bootstrap approach Nick Kloodt N. Neumeyer 15 4 0 20 Sep 2017
On the Distribution, Model Selection Properties and Uniqueness of the Lasso Estimator in Low and High Dimensions K. Ewald U. Schneider 41 12 0 31 Aug 2017
Inferactive data analysis Nan Bi J. Marković Lucy Xia Jonathan E. Taylor 14 15 0 20 Jul 2017
Regularized Ordinal Regression and the ordinalNet R Package Mike Wurm P. Rathouz B. Hanlon 45 72 0 15 Jun 2017
Information, Privacy and Stability in Adaptive Data Analysis Adam D. Smith 24 11 0 02 Jun 2017