4 citations · 5 across the 3 of their papers we have counts for
3 papers
Constrained Causal Bayesian Optimization
Virginia Aglietti, Alan Malek, Ira Ktena +1
We propose constrained causal Bayesian optimization (cCBO), an approach for finding interventions in a known causal graph that optimize a target variable under some constraints. cC…
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Limor Gultchin, Siyuan Guo, Alan Malek +2
We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking what we can do with an action space available…
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon +1
We propose the Hit-and-Run algorithm for planning and sampling problems in non-convex spaces. For sampling, we show the first analysis of the Hit-and-Run algorithm in non-convex sp…