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04/24/2023
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
This work investigates the Monte Carlo Tree Search (MCTS) method combine...
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02/03/2022
On Monte Carlo Tree Search for Weighted Vertex Coloring
This work presents the first study of using the popular Monte Carlo Tree...
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09/13/2021
A deep learning guided memetic framework for graph coloring problems
Given an undirected graph G=(V,E) with a set of vertices V and a set of ...
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03/18/2021
Massively parallel hybrid search for the partial Latin square extension problem
The partial Latin square extension problem is to fill as many as possibl...
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09/03/2020
On the study of the Beran estimator for generalized censoring indicators
Along with the analysis of time-to-event data, it is common to assume th...
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09/05/2019
Gradient Descent based Weight Learning for Grouping Problems: Application on Graph Coloring and Equitable Graph Coloring
A grouping problem involves partitioning a set of items into mutually di...
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03/06/2019
Causal Discovery Toolbox: Uncover causal relationships in Python
This paper presents a new open source Python framework for causal discov...
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03/13/2018
SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning
We present the Structural Agnostic Model (SAM), a framework to estimate ...
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11/24/2017
Causal Generative Neural Networks
We introduce CGNN, a framework to learn functional causal models as gene...
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09/15/2017