TILOS Seminar Series

Events

Events Search and Views Navigation

Event Views Navigation

Today

  • Headshot of Dr. Nigel Goldenfeld

    Optimization for ML and AI Seminar: A non-equilibrium phase transition with broken ergodicity leads to double descent and benign overfitting in machine learning

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Nigel Goldenfeld, UC San Diego Department of Physics and HDSI Abstract: The remarkable ability of modern neural networks to generalize improves with increasing network capacity, even when the number of model parameters or effective degrees of freedom exceeds the number of training data points. This phenomenon is all the more surprising given that generalization error […]

  • Headshot of Dr. Andrej Risteski

    TILOS-HDSI Seminar: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation

    HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

    Andrej Risteski, Carnegie Mellon University Abstract: Modern AI systems are increasingly built by placing trained models inside larger computational loops. Inference-time algorithms are a basic instance of this idea: they use one or more trained models at test time to incorporate new information, exploit pretrained models as priors, and trade computational effort for accuracy, sample […]

  • Max Z. Li

    TILOS-SDSU Seminar: Distributionally Robust Optimization and Applications to Air Traffic Management

    Lamden Hall (LH) 247 San Diego State University, San Diego, CA, United States

    Max Z. Li, University of Michigan Abstract: Ground Delay Programs (GDPs) mitigate air traffic demand-capacity imbalances by holding flights on the ground at their origin airports when the destination airport's arrival capacity is reduced, thereby limiting costly airborne holding. A central challenge is that day-to-day demand-capacity balancing depends on accurate capacity predictions. In practice, however, […]

  • Nicklas Hansen

    TILOS Seminar: What makes a good world model?

    Sanjay and Charlene Srivastava Multi-Purpose Room 3234 Matthews Ln, La Jolla, CA, United States

    Nicklas Hansen, New York University Abstract: World models are quickly becoming a central ingredient in systems for decision-making. However, several fundamental questions remain largely unresolved: what's the right learning objective, what's the right training data, and how do we evaluate the quality of a world model? In this talk, I will present a line of […]

  • TILOS Seminar with Thomas Serre (Brown)

    Sanjay and Charlene Srivastava Multi-Purpose Room 3234 Matthews Ln, La Jolla, CA, United States

    Thomas Serre, Brown University Abstract: TBA Dr. Serre is the Thomas J. Watson, Sr. Professor of Science and Professor of Cognitive and Psychological Sciences and Computer Science at Brown University. He received his Ph.D. in Neuroscience from MIT in 2006 and his M.Sc. in Electrical Engineering and Computer Science from Télécom Bretagne in France in […]

  • TILOS Seminar with Atul Prakash (Michigan)

    Sanjay and Charlene Srivastava Multi-Purpose Room 3234 Matthews Ln, La Jolla, CA, United States

    Atul Prakash, University of Michigan Abstract: TBA Atul Prakash is a Professor and Chair of Computer Science and Engineering at the University of Michigan. He earned his Ph.D. from the University of California, Berkeley, and joined the Michigan faculty in 1989. His research focuses on the efficiency, robustness, and security of machine learning and computer […]

  • TILOS Seminar with Stella Yu (Michigan)

    Sanjay and Charlene Srivastava Multi-Purpose Room 3234 Matthews Ln, La Jolla, CA, United States

    Stella Yu, University of Michigan Abstract: TBA Stella Yu received her Ph.D. from Carnegie Mellon University, where she studied robotics at the Robotics Institute and vision science at the Center for the Neural Basis of Cognition. Before joining the University of Michigan in Fall 2022 as a Full Professor of Electrical Engineering and Computer Science, […]