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» An Approximation Algorithm for Approximation Rank
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195
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ICML
2010
IEEE
15 years 7 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ICML
2010
IEEE
15 years 7 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
168
Voted
IOR
2006
163views more  IOR 2006»
15 years 6 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
IJBC
2007
80views more  IJBC 2007»
15 years 6 months ago
Exact Approximations of omega Numbers
A Chaitin Omega number is the halting probability of a universal prefix-free Turing machine. Every Omega number is simultaneously computably enumerable (the limit of a computable...
Cristian S. Calude, Michael J. Dinneen
TON
2010
176views more  TON 2010»
15 years 1 months ago
Approximation of Generalized Processor Sharing With Interleaved Stratified Timer Wheels
This paper presents Interleaved Stratified Timer Wheels as a novel priority queue data structure for traffic shaping and scheduling in packet-switched networks. The data structure ...
Martin Karsten