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Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
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Greedy Approximation Algorithms for Active Sequential Hypothesis Testing

Kyra Gan
Su Jia
Andrew A. Li
ArXiv (abs)PDFHTML

Papers citing "Greedy Approximation Algorithms for Active Sequential Hypothesis Testing"

5 / 5 papers shown
Title
Causal Inference With Selectively Deconfounded Data
Causal Inference With Selectively Deconfounded Data
Kyra Gan
Andrew A. Li
Zachary Chase Lipton
S. Tayur
CML
36
7
0
25 Feb 2020
Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing
Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing
Gautam Kamath
Christos Tzamos
57
17
0
17 Jul 2018
Minimax Analysis of Active Learning
Minimax Analysis of Active Learning
Steve Hanneke
Liu Yang
145
109
0
03 Oct 2014
Active sequential hypothesis testing
Active sequential hypothesis testing
Mohammad Naghshvar
T. Javidi
117
235
0
20 Mar 2012
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Daniel Golovin
Andreas Krause
165
603
0
21 Mar 2010

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