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28 Sep 2026 10:30 am PhD Thesis Defense PhD Thesis Defense: Pracheta Amaranath, Causal Inference for Simulation and Simulation for Causal Inference This thesis investigates the interplay between simulation and causal inference, studying two very different uses of simulators as causal models. 30 Sep 2026 12:00 pm PhD Thesis Defense PhD Thesis Defense: Yu-Zhen (Janice) Chen, Toward Resource-Efficient Decision-Making for Networked Systems This dissertation develops resource-efficient decision-making algorithms to optimize the performance of networked systems under such constraints. 30 Sep 2026 12:00 pm Machine Learning and Friends Lunch Machine Learning and Friends Lunch: Shilong Liu, A Taxonomy of Self-evolving Agents This talk explains self-evolving agents through three areas: artifact optimization, agent harness self-improvement, and model learning without gold answers too. 14 Oct 2026 3:00 pm Distinguished Lecturer Series 404: Evidence Not Found—The Challenge of Disappearing Federal Data & Dark Archives Jason R. Baron examines why government information is “going dark” and how law, archives, technology, and AI can help preserve public access.
28 Sep 2026 10:30 am PhD Thesis Defense PhD Thesis Defense: Pracheta Amaranath, Causal Inference for Simulation and Simulation for Causal Inference This thesis investigates the interplay between simulation and causal inference, studying two very different uses of simulators as causal models.
30 Sep 2026 12:00 pm PhD Thesis Defense PhD Thesis Defense: Yu-Zhen (Janice) Chen, Toward Resource-Efficient Decision-Making for Networked Systems This dissertation develops resource-efficient decision-making algorithms to optimize the performance of networked systems under such constraints.
30 Sep 2026 12:00 pm Machine Learning and Friends Lunch Machine Learning and Friends Lunch: Shilong Liu, A Taxonomy of Self-evolving Agents This talk explains self-evolving agents through three areas: artifact optimization, agent harness self-improvement, and model learning without gold answers too.
14 Oct 2026 3:00 pm Distinguished Lecturer Series 404: Evidence Not Found—The Challenge of Disappearing Federal Data & Dark Archives Jason R. Baron examines why government information is “going dark” and how law, archives, technology, and AI can help preserve public access.