By Angela Berti6 October 2023 TILOS Fireside Chat: Theory in the Age of Modern AI A conversation about theory in the age of modern artificial intelligence (AI) with TILOS member panelists Nisheeth Vishnoi, Tara Javidi, Misha Belkin, and Arya Mazumdar (moderator). Foundations,Panel Discussions 3 views You may also like 55:02 TILOS Seminar: The Dissimilarity Dimension: Sharper Bounds for Optimistic Algorithms 2 views Foundations,TILOS Seminar Series bandits,Eluder dimension,optimistic algorithms,reinforcement learning 56:45 TILOS Seminar: Building Personalized Decision Models with Federated Human Preferences 2 views Foundations,TILOS Seminar Series dueling bandits,federated learning 49:40 TILOS Seminar: Towards Foundation Models for Graph Reasoning and AI 4 Science 3 views Foundations,TILOS Seminar Series foundation models,graph learning,knowledge graph reasoning,natural science 01:02:21 TILOS AI Ethics Panel 4 views AI Ethics,Panel Discussions 01:31:32 TILOS Early Career Development in Industry Panel 3 views Panel Discussions 01:01:13 TILOS Seminar: Rare Gems: Finding Lottery Tickets at Initialization 6 views Foundations,Machine Learning,TILOS Seminar Series deep learning,lottery ticket hypothesis,machine learning,neural networks 01:04:27 TILOS Seminar: Robust and Equitable Uncertainty Estimation 2 views Foundations,Machine Learning,TILOS Seminar Series black box models,confidence estimation,fairness,machine learning,robustness 54:45 TILOS Seminar: On Policy Optimization Methods for Control 3 views Foundations,TILOS Seminar Series control theory,nonconvex optimization,policy optimization,reinforcement learning 01:00:19 TILOS Seminar: Non-convex Optimization for Linear Quadratic Gaussian (LQG) Control 2 views Foundations,Machine Learning,TILOS Seminar Series control theory,Linear Quadratic Gaussian control,machine learning,nonconvex optimization 01:03:47 TILOS Seminar: How to use Machine Learning for Combinatorial Optimization 4 views Foundations,Machine Learning,TILOS Seminar Series combinatorial optimization,deep learning,machine learning,reinforcement learning «123»Page 2 of 3
