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Near Optimal Bayesian Active Learning for Decision Making

Near Optimal Bayesian Active Learning for Decision Making

24 February 2014
Shervin Javdani
Yuxin Chen
Amin Karbasi
Andreas Krause
J. Andrew Bagnell
S. Srinivasa
ArXiv (abs)PDFHTML

Papers citing "Near Optimal Bayesian Active Learning for Decision Making"

6 / 6 papers shown
Title
Adaptive Information Gathering via Imitation Learning
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
63
23
0
22 May 2017
Efficient Touch Based Localization through Submodularity
Efficient Touch Based Localization through Submodularity
Shervin Javdani
Matthew Klingensmith
Drew Bagnell
N. S. Pollard
S. Srinivasa
89
75
0
30 Aug 2012
Comparison-Based Learning with Rank Nets
Comparison-Based Learning with Rank Nets
Amin Karbasi
Stratis Ioannidis
laurent Massoulie
67
27
0
18 Jun 2012
Near-Optimal Bayesian Active Learning with Noisy Observations
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin
Andreas Krause
Debajyoti Ray
115
206
0
15 Oct 2010
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
145
603
0
21 Mar 2010
Average-Case Active Learning with Costs
Average-Case Active Learning with Costs
Andrew Guillory
J. Bilmes
VLMFedML
89
48
0
18 May 2009
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