Why Adaptively Collected Data Have Negative Bias and How to Correct for It

7 August 2017

Papers citing "Why Adaptively Collected Data Have Negative Bias and How to Correct for It"

10 / 10 papers shown

Title
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 40 0 0 14 Apr 2024
Selective sampling after solving a convex problem Xiaoying Tian Harris Snigdha Panigrahi J. Marković Nan Bi Jonathan E. Taylor 60 43 0 19 Sep 2016
MAGIC: a general, powerful and tractable method for selective inference Xiaoying Tian Nan Bi Jonathan E. Taylor 90 22 0 09 Jul 2016
Demystifying the Bias from Selective Inference: a Revisit to Dawid's Treatment Selection Problem Jiannan Lu Alex Deng CML 16 8 0 21 Jan 2016
Selective inference with a randomized response Xiaoying Tian Jonathan E. Taylor 53 152 0 24 Jul 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 60 375 0 10 Nov 2014
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 101 335 0 09 Oct 2014
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck 69 411 0 27 Dec 2013
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 112 440 0 13 Nov 2008
High-dimensional variable selection Larry Wasserman Kathryn Roeder 337 579 0 09 Apr 2007