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Selective inference with a randomized response

Selective inference with a randomized response

24 July 2015
Xiaoying Tian
Jonathan E. Taylor
ArXivPDFHTML

Papers citing "Selective inference with a randomized response"

35 / 35 papers shown
Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Gokularam Muthukrishnan
Sheetal Kalyani
89
0
0
28 Jan 2025
Graph fission and cross-validation
Graph fission and cross-validation
James Leiner
Aaditya Ramdas
38
1
0
26 Jan 2024
Selective Inference for Changepoint detection by Recurrent Neural
  Network
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
22
4
0
25 Nov 2023
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
37
13
0
22 Mar 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
37
15
0
06 Jan 2023
Exact Selective Inference with Randomization
Exact Selective Inference with Randomization
Snigdha Panigrahi
Kevin Fry
Jonathan E. Taylor
18
11
0
25 Dec 2022
Locally Simultaneous Inference
Locally Simultaneous Inference
Tijana Zrnic
William Fithian
32
4
0
18 Dec 2022
Valid Inference after Causal Discovery
Valid Inference after Causal Discovery
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
31
8
0
11 Aug 2022
Holistic Generalized Linear Models
Holistic Generalized Linear Models
Benjamin Schwendinger
Florian Schwendinger
Laura Vana
AI4CE
19
2
0
30 May 2022
Selective Inference for Sparse Multitask Regression with Applications in
  Neuroimaging
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
Treatment Effect Estimation with Efficient Data Aggregation
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
Data fission: splitting a single data point
James Leiner
Boyan Duan
Larry A. Wasserman
Aaditya Ramdas
46
32
0
21 Dec 2021
Unbiased Risk Estimation in the Normal Means Problem via Coupled
  Bootstrap Techniques
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira
Jing Lei
Robert Tibshirani
32
10
0
17 Nov 2021
Exact Statistical Inference for the Wasserstein Distance by Selective
  Inference
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
43
14
0
29 Sep 2021
Whiteout: when do fixed-X knockoffs fail?
Whiteout: when do fixed-X knockoffs fail?
Xiao Li
William Fithian
23
9
0
30 Jun 2021
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
56
19
0
23 Jun 2021
Tree-Values: selective inference for regression trees
Tree-Values: selective inference for regression trees
Anna Neufeld
Lucy L. Gao
Daniela Witten
34
21
0
15 Jun 2021
Fast and More Powerful Selective Inference for Sparse High-order
  Interaction Model
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Diptesh Das
Vo Nguyen Le Duy
Hiroyuki Hanada
Koji Tsuda
Ichiro Takeuchi
28
17
0
09 Jun 2021
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
40
34
0
11 May 2021
Conditional Selective Inference for Robust Regression and Outlier
  Detection using Piecewise-Linear Homotopy Continuation
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
Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
29
18
0
05 Oct 2020
Conditional calibration for false discovery rate control under
  dependence
Conditional calibration for false discovery rate control under dependence
William Fithian
Lihua Lei
33
47
0
20 Jul 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference
  using Dynamic Programming
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy
Hiroki Toda
Ryota Sugiyama
Ichiro Takeuchi
21
39
0
21 Feb 2020
More Powerful Selective Kernel Tests for Feature Selection
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
Carving model-free inference
Carving model-free inference
Marvin Aron Kennis
16
11
0
07 Nov 2018
On the length of post-model-selection confidence intervals conditional
  on polyhedral constraints
On the length of post-model-selection confidence intervals conditional on polyhedral constraints
D. Kivaranovic
Hannes Leeb
21
17
0
05 Mar 2018
Valid Inference Corrected for Outlier Removal
Valid Inference Corrected for Outlier Removal
Shuxiao Chen
Jacob Bien
29
53
0
29 Nov 2017
Why Adaptively Collected Data Have Negative Bias and How to Correct for
  It
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie
Xiaoying Tian
Jonathan E. Taylor
James Zou
OnRL
16
87
0
07 Aug 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
39
29
0
26 Apr 2017
Approximate $l_0$-penalized estimation of piecewise-constant signals on
  graphs
Approximate l0l_0l0​-penalized estimation of piecewise-constant signals on graphs
Z. Fan
Leying Guan
36
21
0
04 Mar 2017
Prediction error after model search
Prediction error after model search
Xiaoying Tian Harris
37
18
0
19 Oct 2016
MAGIC: a general, powerful and tractable method for selective inference
MAGIC: a general, powerful and tractable method for selective inference
Xiaoying Tian
Nan Bi
Jonathan E. Taylor
25
22
0
09 Jul 2016
Distribution-Free Predictive Inference For Regression
Distribution-Free Predictive Inference For Regression
Jing Lei
M. G'Sell
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
26
822
0
14 Apr 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
40
77
0
30 Oct 2015
Optimal Inference After Model Selection
Optimal Inference After Model Selection
William Fithian
Dennis L. Sun
Jonathan E. Taylor
41
332
0
09 Oct 2014
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