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Iadine Chades

3 accepted papers

2026

Leveraging Sparse Observations to Predict Species Abundance Across Space and Time

AAAI 2026technical

Biodiversity is declining globally at an unprecedented rate. Managers urgently need to allocate limited resources to control pest species where interventions have the highest ecological impact. However, many species are hard to detect, and data collection is often expensive, irregular, and incomplet

Cited by 0SourcePDFScholar
2023

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

AAAI 2023technical

Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such as Bayesian Optimisation (BO) are ill-equipped to handle such mixed-variable search spaces. The optimisation breadth introduced by categorical variables in the mi…

Cited by 0SourcePDFScholar
2022

Optimizing Sequential Experimental Design with Deep Reinforcement Learning

ICML 2022spotlight

Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging. Recently, techniques using amortization have been proposed to make these Bayesian approaches practical, by training a parameterized policy that proposes des…