180 search results - page 2 / 36 » On the Convergence Rate of Good-Turing Estimators |
JMLR
2012
11 years 7 months ago
2012
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
NIPS
2001
13 years 6 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
TIT
2010
13 years 3 days ago
2010
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...
ISPD
2012
ACM
12 years 29 days ago
2012
ACM
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...