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06/10/2016
Causal Bandits: Learning Good Interventions via Causal Inference
We study the problem of using causal models to improve the rate at which...
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02/09/2016
Compliance-Aware Bandits
Motivated by clinical trials, we study bandits with observable non-compl...
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07/09/2015
Fast rates in statistical and online learning
The speed with which a learning algorithm converges as it is presented w...
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10/01/2014
Risk Dynamics in Trade Networks
We introduce a new framework to model interactions among agents which se...
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03/10/2014
Generalised Mixability, Constant Regret, and Bayesian Updating
Mixability of a loss is known to characterise when constant regret bound...
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12/01/2011
Bandit Market Makers
We introduce a modular framework for market making. It combines cost-fun...
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10/18/2011
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
This paper presents an improvement to model learning when using multi-cl...
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12/17/2009