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Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
- Niranjan Srinivas, Andreas Krause, S. Kakade, M. Seeger
- Computer ScienceICML
- 20 December 2009
TLDR
Tensor decompositions for learning latent variable models
- Anima Anandkumar, Rong Ge, Daniel J. Hsu, S. Kakade, Matus Telgarsky
- Computer Science, MathematicsJ. Mach. Learn. Res.
- 28 October 2012
TLDR
A Natural Policy Gradient
- S. Kakade
- Computer ScienceNIPS
- 3 January 2001
TLDR
Approximately Optimal Approximate Reinforcement Learning
- S. Kakade, J. Langford
- Computer ScienceICML
- 8 July 2002
Stochastic Linear Optimization under Bandit Feedback
- Varsha Dani, Thomas P. Hayes, S. Kakade
- Computer Science, MathematicsCOLT
- 2008
TLDR
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
- Niranjan Srinivas, Andreas Krause, S. Kakade, M. Seeger
- Computer ScienceIEEE Transactions on Information Theory
- 1 May 2012
TLDR
Cover trees for nearest neighbor
- A. Beygelzimer, S. Kakade, J. Langford
- Computer ScienceICML
- 25 June 2006
TLDR
How to Escape Saddle Points Efficiently
- Chi Jin, Rong Ge, Praneeth Netrapalli, S. Kakade, Michael I. Jordan
- Computer Science, MathematicsICML
- 2 March 2017
TLDR
On the sample complexity of reinforcement learning.
- S. Kakade
- Computer Science
- 2003
TLDR
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
- M. Fazel, Rong Ge, S. Kakade, M. Mesbahi
- Computer ScienceICML
- 15 January 2018
TLDR
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