9 citations · 29 across the 7 of their papers we have counts for
7 papers
Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
Morenikeji D. Akinlotan, David J. Warne, Kate J. Helmstedt +5
In ecological and environmental contexts, management actions must sometimes be chosen urgently. Value of information (VoI) analysis provides a quantitative toolkit for projecting t…
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau, Iadine Chades, Amir Dezfouli +2
Reinforcement learning can learn amortised design policies for designing sequences of experiments. However, current amortised methods rely on estimators of expected information gai…
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals
Yan Zuo, Amir Dezfouli, Iadine Chades +2
Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such asBayesian Optimisation (BO) are not desig…
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau, Edwin V. Bonilla, Iadine Chades +1
Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging. Recently, techniques using amortizat…
From climate change to pandemics: decision science can help scientists have impact
Christopher M. Baker, Patricia T. Campbell, Iadine Chades +8
Scientific knowledge and advances are a cornerstone of modern society. They improve our understanding of the world we live in and help us navigate global challenges including emerg…
A continuous time formulation of stochastic dual control to avoid the curse of dimensionality
Martin Péron, Christopher M. Baker, Barry D. Hughes +1
Dual control denotes a class of control problems where the parameters governing the system are imperfectly known. The challenge is to find the optimal balance between probing, i.e.…
Solving multi-objective optimization problems in conservation with the reference point method
Yann Dujardin, Iadine Chades
Managing biodiversity extinction crisis requires wise decision-making processes able to account for the limited of resources available. In most decision problems in conservation bi…