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Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

21 August 2023
Arman Rahbar
Niklas Åkerblom
M. Chehreghani
ArXivPDFHTML

Papers citing "Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach"

16 / 16 papers shown
Title
Efficient Online Decision Tree Learning with Active Feature Acquisition
Efficient Online Decision Tree Learning with Active Feature Acquisition
Arman Rahbar
Ziyu Ye
Yuxin Chen
M. Chehreghani
48
1
0
03 May 2023
Active Learning and Bayesian Optimization: a Unified Perspective to
  Learn with a Goal
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal
Francesco Di Fiore
Michela Nardelli
L. Mainini
68
22
0
02 Mar 2023
Online Learning of Network Bottlenecks via Minimax Paths
Online Learning of Network Bottlenecks via Minimax Paths
Niklas Åkerblom
F. Hoseini
M. Chehreghani
52
11
0
17 Sep 2021
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
139
14,883
0
18 Jun 2020
Thompson Sampling for Combinatorial Network Optimization in Unknown
  Environments
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments
Alihan Huyuk
Cem Tekin
51
16
0
07 Jul 2019
Exact sampling of determinantal point processes with sublinear time
  preprocessing
Exact sampling of determinantal point processes with sublinear time preprocessing
Michal Derezinski
Daniele Calandriello
Michal Valko
45
55
0
31 May 2019
ROI Maximization in Stochastic Online Decision-Making
ROI Maximization in Stochastic Online Decision-Making
Nicolò Cesa-Bianchi
Tommaso Cesari
Yishay Mansour
Vianney Perchet
42
4
0
28 May 2019
Optimal Sparse Decision Trees
Optimal Sparse Decision Trees
Xiyang Hu
Cynthia Rudin
Margo Seltzer
103
174
0
29 Apr 2019
Introduction to Multi-Armed Bandits
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
537
1,006
0
15 Apr 2019
Thompson Sampling for Combinatorial Semi-Bandits
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang
Wei Chen
46
127
0
13 Mar 2018
Context Attentive Bandits: Contextual Bandit with Restricted Context
Context Attentive Bandits: Contextual Bandit with Restricted Context
Djallel Bouneffouf
Irina Rish
Guillermo Cecchi
Raphael Feraud
34
67
0
10 May 2017
Efficient Online Learning for Optimizing Value of Information: Theory
  and Application to Interactive Troubleshooting
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
Yuxin Chen
J. Renders
M. Chehreghani
Andreas Krause
31
13
0
16 Mar 2017
Learning to Optimize Via Posterior Sampling
Learning to Optimize Via Posterior Sampling
Daniel Russo
Benjamin Van Roy
185
699
0
11 Jan 2013
Efficient Test Selection in Active Diagnosis via Entropy Approximation
Efficient Test Selection in Active Diagnosis via Entropy Approximation
A. Zheng
Irina Rish
A. Beygelzimer
80
69
0
04 Jul 2012
Bayesian Active Learning for Classification and Preference Learning
Bayesian Active Learning for Classification and Preference Learning
N. Houlsby
Ferenc Huszár
Zoubin Ghahramani
M. Lengyel
110
910
0
24 Dec 2011
Near-Optimal Bayesian Active Learning with Noisy Observations
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin
Andreas Krause
Debajyoti Ray
100
206
0
15 Oct 2010
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