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Neil Walton

Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need

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Feb 03, 2024
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Convergence Rates for Stochastic Approximation on a Boundary

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Aug 18, 2022
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Learning and Information in Stochastic Networks and Queues

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May 20, 2021
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Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems

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Apr 30, 2021
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An Adiabatic Theorem for Policy Tracking with TD-learning

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Oct 30, 2020
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Fast Approximate Bayesian Contextual Cold Start Learning (FAB-COST)

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Aug 18, 2020
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Regret Analysis of a Markov Policy Gradient Algorithm for Multi-arm Bandits

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Aug 05, 2020
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A Short Note on Soft-max and Policy Gradients in Bandits Problems

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Jul 20, 2020
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Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches

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Jul 02, 2019
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