The Schedule

Click for a Condensed Schedule and Abstracts of Talks

Registration and Welcome

8:45 - 8:55

Registration

8:55 - 9:00

Opening Welcome

Session 1

( Chair: Rina Dechter )

9:00 - 9:45

Towards Causal Artificial Intelligence [slides][video]

Elias Barenboim

9:45 - 10:15

Bi-Level Offline Reinforcement Learning [slides][video]

Wenzhuo Zhou

10:15 - 10:45

Identify and Estimate Causal Effects of a Continuous Treatment Using Discrete Instruments [slides][video]

YingYing Dong

Coffee Break 10:45 - 11:00

Session 2

( Chair: Alexander Ihler )

11:00 - 11:30

Learning Fair and Reliable ML Models from Incomplete and Uncertain Data [slides][video]

Babak Salimi

11:30 - 12:00

Advancing Causal Structure Learning: Addressing Challenges with Latent Confounders [slides][video]

Biwei Huang

12:00 - 12:30

Causation from Complicated Measurements [slides][video]

David Danks

Lunch 12:30 - 2:00

Session 3

( Chair: Sven Keonig )

2:00 - 3:00

On Free Will [slides][video]

Judea Pearl

3:00 - 3:30

Towards Trustworthy Machine Learning: A Lens on Explainability for Large Language Models [slides][video]

Hengrui Cai

3:30 - 4:00

Invariance & Uncertainty in Human Causal Induction [slides][video]

Mimi Liljeholm

Coffee Break 4:00 - 4:15

Session 4

( Chair: Roy Fox )

4:15 - 4:45

Synergistic-Unique- Redundant Decomposition of Causality [slides][video]

Adrian Lozano-Duran

4:45 - 5:15

Causal Inference and Machine Learning in Mobile Health - Modeling Time-Varying Effects Using Longitudinal Functional Data [slides][video]

Tianchen Qian

5:15 - 6:00pm

Panel Discussion [video]

Panel: Judea Pearl, Elias Barenboim, David Danks, Jin Tian

Moderator: Rina Dechter

Closing Remarks

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