Mauricio Gonzalez-Soto

According to our database, Mauricio Gonzalez-Soto authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Learning a causal structure: a Bayesian random graph approach.

Mauricio Gonzalez-Soto, Ivan Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante

Neural Comput. Appl., September, 2023

2021

Improving Patch Quality by Enhancing Key Components of Automatic Program Repair.

Mauricio Gonzalez-Soto

PhD thesis, 2021

2020

Causal Games and Causal Nash Equilibrium.

Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante

Res. Comput. Sci., 2020

Causal Structure Learning: a Bayesian approach based on random graphs.

Mauricio Gonzalez-Soto, Ivan R. Feliciano-Avelino, Luis Enrique Sucar, Hugo Jair Escalante Balderas

CoRR, 2020

2019

Reinforcement Learning is not a Causal problem.

Mauricio Gonzalez-Soto, Felipe Orihuela-Espina

CoRR, 2019

von Neumann-Morgenstern and Savage Theorems for Causal Decision Making.

Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante

CoRR, 2019

A Guiding Principle for Causal Decision Problems.

Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante

CoRR, 2019

2018

Playing against Nature: causal discovery for decision making under uncertainty.

Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante

CoRR, 2018