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06/13/2023
Additive Causal Bandits with Unknown Graph
We explore algorithms to select actions in the causal bandit setting whe...
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05/31/2023
Constrained Causal Bayesian Optimization
We propose constrained causal Bayesian optimization (cCBO), an approach ...
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07/02/2021
Prequential MDL for Causal Structure Learning with Neural Networks
Learning the structure of Bayesian networks and causal relationships fro...
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11/06/2020
Sequential Testing of Multinomial Hypotheses with Applications to Detecting Implementation Errors and Missing Data in Randomized Experiments
Simply randomized designs are one of the most common controlled experime...
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01/06/2019
Large-Scale Markov Decision Problems via the Linear Programming Dual
We consider the problem of controlling a fully specified Markov decision...
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02/26/2018
Best Arm Identification for Contaminated Bandits
We propose the Contaminated Best Arm Identification variant of the Multi...
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10/19/2016
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
We propose the Hit-and-Run algorithm for planning and sampling problems ...
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03/14/2016
Online Isotonic Regression
We consider the online version of the isotonic regression problem. Given...
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02/27/2014