3 papers
cs.LG2025
Natural Evolutionary Search meets Probabilistic Numerics
Pierre Osselin, Masaki Adachi, Xiaowen Dong +1
Zeroth-order local optimisation algorithms are essential for solving real-valued black-box optimisation problems. Among these, Natural Evolution Strategies (NES) represent a promin…
cs.LG2023
Structure-Aware Robustness Certificates for Graph Classification
Pierre Osselin, Henry Kenlay, Xiaowen Dong
Certifying the robustness of a graph-based machine learning model poses a critical challenge for safety. Current robustness certificates for graph classifiers guarantee output inva…
cs.LG2023
Bayesian Optimisation of Functions on Graphs
Xingchen Wan, Pierre Osselin, Henry Kenlay +3
The increasing availability of graph-structured data motivates the task of optimising over functions defined on the node set of graphs. Traditional graph search algorithms can be a…