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05/20/2022
A stochastic game framework for patrolling a border
In this paper we consider a stochastic game for modelling the interactio...
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11/05/2021
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
We present a novel recommender systems dataset that records the sequenti...
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09/29/2021
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
We consider a variant of online binary classification where a learner se...
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06/04/2021
Decentralized Q-Learning in Zero-sum Markov Games
We study multi-agent reinforcement learning (MARL) in infinite-horizon d...
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04/30/2021
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
We consider the problem of recommending relevant content to users of an ...
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02/05/2021
GIBBON: General-purpose Information-Based Bayesian OptimisatioN
This paper describes a general-purpose extension of max-value entropy se...
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10/02/2020
BOSS: Bayesian Optimization over String Spaces
This article develops a Bayesian optimization (BO) method which acts dir...
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09/07/2020
Learning to Rank under Multinomial Logit Choice
Learning the optimal ordering of content is an important challenge in we...
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07/02/2020
BOSH: Bayesian Optimization by Sampling Hierarchically
Deployments of Bayesian Optimization (BO) for functions with stochastic ...
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06/22/2020
MUMBO: MUlti-task Max-value Bayesian Optimization
We propose MUMBO, the first high-performing yet computationally efficien...
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01/08/2020
On Thompson Sampling for Smoother-than-Lipschitz Bandits
Thompson Sampling is a well established approach to bandit and reinforce...
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08/30/2019
Robust Function-on-Function Regression
Functional linear regression is a widely used approach to model function...
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06/28/2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
We present FIESTA, a model selection approach that significantly reduces...
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06/20/2019
Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data
This paper considers the posterior contraction of non-parametric Bayesia...
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05/16/2019
Adaptive Sensor Placement for Continuous Spaces
We consider the problem of adaptively placing sensors along an interval ...
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10/04/2018
Adaptive Policies for Perimeter Surveillance Problems
Maximising the detection of intrusions is a fundamental and often critic...
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10/03/2018
Bandit learning in concave N-person games
This paper examines the long-run behavior of learning with bandit feedba...
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06/19/2018
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models
K-fold cross validation (CV) is a popular method for estimating the true...
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05/26/2017
Combinatorial Multi-Armed Bandits with Filtered Feedback
Motivated by problems in search and detection we present a solution to a...
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12/01/2014
Game-theoretical control with continuous action sets
Motivated by the recent applications of game-theoretical learning techni...
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12/11/2011
Adaptive Forgetting Factor Fictitious Play
It is now well known that decentralised optimisation can be formulated a...
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12/10/2011