Monday November 30 – INAOE Main Auditorium
| 8:00 – 9:00 | Registration | Auditorium Lobby |
| 9:00 – 9:30 | Opening Ceremony | Auditorium |
9:30 – 11:00 | Invited Talk: “What Algorithms for Causal Discovery Can Do “ Professor Clark Glymour | Auditorium |
| 11:00 – 11:30 | Coffee Break | Auditorium Lobby |
| 11:30 – 13:30 | Tutorial | Auditorium |
| 13:30 – 15:00 | Lunch | |
| 15:00 – 17:00 | Session I, Part I – Fundamentals and Algorithms for Causal Discovery Causal Discovery with Diffusion-Based Data Augmentation under Causal Constraints Julio Muñoz-Benítez and Luis Enrique Sucar Structural limits of observational learning for interventional competence Marcus Thomas Structural Agreement Between MMPC, GES, and Hill Climbing in School Population Antonia del Brezo Ordaz-Lopez, Carlo Giovanni Cetina-Camacho, Selene Ramirez-Rosales, Jorge Luis Perez-Ramos, Ana Marcela Herrera-Navarro, Hugo Jiménez-Hernández, Julio Cesar Mendez-Avila, José Miguel Silva-Llaca and Daniel Canton-Enriquez Quantifying Canonical-DAG Approximation Bias in Causal Systems with Potential Confounding José Sebastián Bejos Mendoza, Enrique Castro, Luis Enrique Sucar and Eduardo F. Morales | Auditorium |
| 17:00 – 19:00 | Welcome Reception | Auditorium Lobby |
Tuesday December 1 – INAOE Main Auditorium
| 8:00 – 9:00 | Registration | Auditorium Lobby |
9:00 – 10:30 | Invited Talk “On some causal abstractions and links between LLMs and causality” Professor Eric Gaussier | Auditorium |
| 10:30 – 11:00 | Coffee Break | Auditorium Lobby |
| 11:00 – 13:00 | Session I, Part II – Fundamentals and Algorithms for Causal Discovery (online) Can Resampled Ensembles Improve Causal Discovery Performance? Ritwick Banerjee, Bryan Andrews, Lechen Shen and Erich Kummerfeld Non-Identifiability of the Interventional Transition Kernel in Offline Reinforcement Learning Mauricio Gonzalez-Soto When Imputation Changes the Graph: Causal Discovery in Sparse BDI-II Symptom Trajectories Julian Rosas Scull, Julio Muñoz-Benítez, Luis Enrique Sucar, Cielo Aholiva Higuera-Gutiérrez and Manuel Montes-Y-Gómez Automatic Causal Fairness Analysis with LLM-Generated Reporting Eric Rossetto, Alessia Berarducci, Alessandro Antonucci and Marco Zaffalon | Auditorium |
| 13:00 – 14:30 | Lunch | Salon de Eventos |
| 14:30 – 17:00 | Session II, Applications (online) Dynamic State Masking for Proximal Policy Optimization Algorithm Fabiola Muñoz Vera, Eduardo Morales Manzanares and Luis Enrique Sucar Succar Causal Discovery in Galaxies via a Weighted Multi-Algorithmic Consensus Juan Manuel Pérez Ortega and Luis Enrique Sucar Succar Diagnosing Causal Reasoning Failures in Large Language Models: Implications for LLM-Assisted Causal Discovery Laura Itzel Rodriguez Dimayuga and Enrique Francisco Soto Astorga Impact of prior knowledge in network structure learning for diabetes related factors Salma Tzay Ramírez-Cruz, Luis Enrique Sucar Succar and Julio César Muñoz Benítez Effect of Synthetic-Data Replication and Coverage on Counterfactual Decision-Making Héctor Avilés, Verónica Rodríguez, Rubén Machucho, Alberto Reyes, Marco Negrete, Gabriel Ramírez, Jesús Medrano and David Antonio Gómez-Jáuregui | |
| 17:00 – 17:30 | Coffee Break | Auditorium Lobby |
| 17:30 – 18:30 | Discussion Panel | Auditorium |
| 18:30 – 19:00 | Closing Ceremony | Auditorium |
| 20:00 | Conference Dinner | Ocho-30 Restaurant |
