Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
PDF Tools
Image Tools
Text Tools
OCR Tools
Symbol and Emoji Tools
On-screen Keyboard
Latex Math Equation to Image
Smart IPA Phonetic Keyboard
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
144
Voted
ICML
2010
IEEE
204
views
Machine Learning
»
more
ICML 2010
»
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
15 years 3 months ago
Download
www.its.caltech.edu
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
claim paper
Read More »
27
posts
with
8473
views
1430
profile views
Browse
My Posts »
olethros
Postdoctoral
EPFL
Homepage
lia.epfl.ch
Bayesian Reinforcement Learning
|
Complexity Analysis
|
Decision Theory
|
Intrusion Detection
|
Learning In Games
|
Machine Learning
|
Partially Observable Stochastic Games
|
POMDPs
|
Regret Bounds
|
Reinforcement Learning
|
Stochastic Optimization
|
posted by
olethros
Mar 14 2010
Read More »