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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. 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. 07 Oct 2026 12:00 pm Machine Learning and Friends Lunch Machine Learning and Friends Lunch: Amit Sharma, Building Self-Improving AI Systems Amit Sharma explores self-improving AI through generated RL environments, training, and formal verification of agent reasoning. 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.
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.
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.
07 Oct 2026 12:00 pm Machine Learning and Friends Lunch Machine Learning and Friends Lunch: Amit Sharma, Building Self-Improving AI Systems Amit Sharma explores self-improving AI through generated RL environments, training, and formal verification of agent reasoning.
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.