A New Perspective on Pool-Based Active Classification and False-Discovery Control

14 August 2020

Papers citing "A New Perspective on Pool-Based Active Classification and False-Discovery Control"

13 / 13 papers shown

Title
A Bandit Approach to Multiple Testing with False Discovery Control Kevin Jamieson Lalit P. Jain 38 23 0 06 Sep 2018
Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm Tongyi Cao A. Krishnamurthy 52 8 0 21 Nov 2017
A framework for Multi-A(rmed)/B(andit) testing with online FDR control Fanny Yang Aaditya Ramdas Kevin Jamieson Martin J. Wainwright 31 63 0 16 Jun 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration Lijie Chen Anupam Gupta Jiacheng Li Mingda Qiao Ruosong Wang 113 47 0 04 Jun 2017
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime Max Simchowitz Kevin Jamieson Benjamin Recht 128 66 0 16 Feb 2017
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection Lijie Chen Jian Li Mingda Qiao 44 61 0 13 Feb 2017
Pure Exploration of Multi-armed Bandit Under Matroid Constraints Lijie Chen Anupam Gupta Jian Li 71 50 0 23 May 2016
Efficient and Parsimonious Agnostic Active Learning Tzu-Kuo Huang Alekh Agarwal Daniel J. Hsu John Langford Robert Schapire 132 47 0 29 Jun 2015
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck 84 415 0 27 Dec 2013
Concentration inequalities for sampling without replacement Rémi Bardenet Odalric-Ambrym Maillard 68 167 0 16 Sep 2013
Adaptive sensing performance lower bounds for sparse signal detection and support estimation R. Castro 335 33 0 04 Jun 2012
The Geometry of Generalized Binary Search Robert D. Nowak 88 108 0 22 Oct 2009
Importance Weighted Active Learning A. Beygelzimer S. Dasgupta John Langford 92 364 0 29 Dec 2008