34 citations · 88 across the 4 of their papers we have counts for
4 papers
Accelerating EM: An Empirical Study
Luis E. Ortiz, Leslie Pack Kaelbling
Many applications require that we learn the parameters of a model from data. EM is a method used to learn the parameters of probabilistic models for which the data for some of the…
Adaptive Importance Sampling for Estimation in Structured Domains
Luis E. Ortiz, Leslie Pack Kaelbling
Sampling is an important tool for estimating large, complex sums and integrals over high dimensional spaces. For instance, important sampling has been used as an alternative to exa…
Value-Directed Sampling Methods for POMDPs
Pascal Poupart, Luis E. Ortiz, Craig Boutilier
We consider the problem of approximate belief-state monitoring using particle filtering for the purposes of implementing a policy for a partially-observable Markov decision process…
Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks
Hau Chan, Michael Ceyko, Luis E. Ortiz
We propose interdependent defense (IDD) games, a computational game-theoretic framework to study aspects of the interdependence of risk and security in multi-agent systems under de…