36 citations · 36 across the 2 of their papers we have counts for
3 papers
cs.LG2022
On Monte Carlo Tree Search for Weighted Vertex Coloring
Cyril Grelier, Olivier Goudet, Jin-Kao Hao
This work presents the first study of using the popular Monte Carlo Tree Search (MCTS) method combined with dedicated heuristics for solving the Weighted Vertex Coloring Problem. S…
cs.LG2019
Population-based Gradient Descent Weight Learning for Graph Coloring Problems
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Graph coloring involves assigning colors to the vertices of a graph such that two vertices linked by an edge receive different colors. Graph coloring problems are general models th…
stat.CO2019★ 36 cited
Causal Discovery Toolbox: Uncover causal relationships in Python
Diviyan Kalainathan, Olivier Goudet
This paper presents a new open source Python framework for causal discovery from observational data and domain background knowledge, aimed at causal graph and causal mechanism mode…