41 citations · 54 across the 3 of their papers we have counts for
3 papers
The Constrained Maximum Likelihood Estimation For Parameters Arising From Partially Identified Models
Hao Luo, Alexandre Bouchard-Côté, Gabriela Cohen Freue +1
We extend the constrained maximum likelihood estimation theory for parameters of a completely identified model, proposed by Aitchison and Silvey (1958), to parameters arising from…
An Entropy Search Portfolio for Bayesian Optimization
Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman +2
Bayesian optimization is a sample-efficient method for black-box global optimization. How- ever, the performance of a Bayesian optimization method very much depends on its explorat…
Optimization of Structured Mean Field Objectives
Alexandre Bouchard-Cote, Michael I. Jordan
In intractable, undirected graphical models, an intuitive way of creating structured mean field approximations is to select an acyclic tractable subgraph. We show that the hardness…