226 citations · 541 across the 30 of their papers we have counts for
8 papers · 1 filter
Detection of Abnormal Input-Output Associations
Charmgil Hong, Siqi Liu, Milos Hauskrecht
We study a novel outlier detection problem that aims to identify abnormal input-output associations in data, whose instances consist of multi-dimensional input (context) and output…
MCODE: Multivariate Conditional Outlier Detection
Charmgil Hong, Milos Hauskrecht
Outlier detection aims to identify unusual data instances that deviate from expected patterns. The outlier detection is particularly challenging when outliers are context dependent…
Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series
Zitao Liu, Milos Hauskrecht
Linear Dynamical System (LDS) is an elegant mathematical framework for modeling and learning multivariate time series. However, in general, it is difficult to set the dimension of…
Hierarchical Solution of Markov Decision Processes using Macro-actions
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling +2
We investigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and…
A Clustering Approach to Solving Large Stochastic Matching Problems
Milos Hauskrecht, Eli Upfal
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The…
Monte-Carlo optimizations for resource allocation problems in stochastic network systems
Milos Hauskrecht, Tomas Singliar
Real-world distributed systems and networks are often unreliable and subject to random failures of its components. Such a stochastic behavior affects adversely the complexity of op…