Program

Monday June 19: Tutorials on Causal Reasoning and Discovery

Tuesday June 20: Invited talks, contributed talks, conference dinner

Wednesday June 21: Invited talks, contributed talks, panel

Monday June 19 – INAOE Main Auditorium

8:00 – 9:00	Registration
9:00 – 11:00	Tutorial Part I – Introduction to Causal Reasoning, A. Darwiche
11:00 – 11:30	Break
11:30 – 13:30	Tutorial Part II – Introduction to Causal Discovery, E. Sucar
13:30 – 15:00	Lunch
15:00 – 17:00	Tutorial Part III – Tools for Causal Discovery, S. Montero
17:00 – 17:30	Break
17:30 – 19:30	Tutorial Part IV – Tools for Causal Discovery in Time Series, J. Muñoz
19:30 – 21:00	Welcome Reception (Auditorium Lobby, INAOE)

Tuesday June 20 – INAOE Main Auditorium

8:00 – 9:00	Registration
9:00 – 9:30	Opening Ceremony
9:30 – 11:00	Invited Talk – “Optimizing Causal Objective Functions: Algorithms and Complexity Results” – Adnan Darwiche
11:00 – 11:30	Break
11:30 – 13:30	Session I – Fundamentals and Algorithms for Causal Discovery – Data Imputation with Casual Models for Causal Discovery from Subsampled Time Series, Julio Muñoz-Benítez and L. Enrique Sucar. -Estimating Bounds on Causal Effects Considering Unmeasured Common Causes, José Sebastián Bejos Mendoza, Luis Enrique Sucar Succar and Eduardo F. Morales Manzanares. –CARL: A Synergistic Framework for Causal Reinforcement Learning, Arquímides Méndez Molina, Eduardo Morales and Luis Enrique Sucar. –Should Causal AI Rule over Deep Learning?, Alberto D. Horner.
13:30-15:00	Lunch
15:00 -16:00	Walking Tour to Tonantzintla
16:00 -16:30	Coffee Break
16:30 -19:00	Panel
20:00-22:00	Conference Dinner (Restaurant Ocho-30, Cholula)

Wednesday June 21 – INAOE Main Auditorium

8:00-9:00	Registration
9:00-10:30	Invited Talk – “Causally informed activity flow models provide mechanistic insight into the emergence of cognitive processes from brain network interactions” – R. Sánchez-Romero Slides
10:30 – 11:00	Break
11:00 – 13:00	Session I I – Applications – Causal Discovery of Mexican COVID-19 Data, Verónica Rodríguez-López and Luis Enrique Sucar. – Reinforcement Learning through Relational Representations and Causal Models, Armando Martínez Ruiz, Eduardo Morales and L. Enrique Sucar. – Causal Models of Human Behavior from Human Experts, Armando Aguayo-Mendoza, Cruz E. Borges, Diego Diego Casado-Mansilla, Melany Melany Hebles and Carlos Quesada. –Learning MDP-ProbLog Programs for Behavior Selection in Self-Driving Cars, Alberto Reyes-Ballesteros, Hector Hugo Avilés Arriaga, Marco Antonio Negrete-Villanueva, Rubén Machuco-Cadena, Karelly Rivera-López and Gloria de-la-Garza.
13:00 -13:30	Closing Ceremony