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» Ideal convergence of bounded sequences
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TIT
2002
86views more  TIT 2002»
13 years 7 months ago
Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates
Abstract--The Lagrangian formulation of variable-rate vector quantization is known to yield useful necessary conditions for quantizer optimality and generalized Lloyd algorithms fo...
Tamás Linder
ISSAC
2007
Springer
108views Mathematics» more  ISSAC 2007»
14 years 1 months ago
Minimum converging precision of the QR-factorization algorithm for real polynomial GCD
Shirayanagi and Sweedler proved that a large class of algorithms over the reals can be modified slightly so that they also work correctly on fixed-precision floating-point numb...
Pramook Khungurn, Hiroshi Sekigawa, Kiyoshi Shiray...
NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
ICASSP
2011
IEEE
12 years 11 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
CDC
2010
IEEE
120views Control Systems» more  CDC 2010»
13 years 2 months ago
Statistical properties of the error covariance in a Kalman filter with random measurement losses
In this paper we study statistical properties of the error covariance matrix of a Kalman filter, when it is subject to random measurement losses. We introduce a sequence of tighter...
Eduardo Rohr, Damián Marelli, Minyue Fu