226 citations · 541 across the 30 of their papers we have counts for
5 papers · 1 filter
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…
The Bregman Variational Dual-Tree Framework
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
Graph-based methods provide a powerful tool set for many non-parametric frameworks in Machine Learning. In general, the memory and computational complexity of these methods is quad…
Relative Comparison Kernel Learning with Auxiliary Kernels
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
In this work we consider the problem of learning a positive semidefinite kernel matrix from relative comparisons of the form: "object A is more similar to object B than it is to C"…
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…