Sciweavers

835 search results - page 37 / 167
» Adaptive Bound Optimization for Online Convex Optimization
Sort
View
NIPS
2004
14 years 16 hour ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
JMLR
2012
12 years 1 months ago
Message-Passing Algorithms for MAP Estimation Using DC Programming
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
DATE
2007
IEEE
144views Hardware» more  DATE 2007»
14 years 5 months ago
Adaptive power management in energy harvesting systems
Recently, there has been a substantial interest in the design of systems that receive their energy from regenerative sources such as solar cells. In contrast to approaches that at...
Clemens Moser, Lothar Thiele, Davide Brunelli, Luc...
ICAART
2010
INSTICC
14 years 7 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
JMLR
2006
89views more  JMLR 2006»
13 years 10 months ago
Lower Bounds and Aggregation in Density Estimation
In this paper we prove the optimality of an aggregation procedure. We prove lower bounds for aggregation of model selection type of M density estimators for the Kullback-Leibler d...
Guillaume Lecué