180 search results - page 2 / 36 » On the Convergence Rate of Good-Turing Estimators |
111
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JMLR
2012
13 years 2 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...
92
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NIPS
2001
15 years 1 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 ...
66
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TIT
2010
14 years 7 months ago
2010
104
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CORR
2010
Springer
14 years 9 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...
136
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ISPD
2012
ACM
13 years 8 months 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...