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5 videos found
Title slide for a presentation by Aldo Pacchiano titled "The Dissimilarity Dimension: Sharper Bounds for Optimistic Algorithms"
55:02
TILOS Seminar: The Dissimilarity Dimension: Sharper Bounds for Optimistic Algorithms
249views
Foundations,
TILOS Seminar Series
bandits,
Eluder dimension,
optimistic algorithms,
reinforcement learning
Title slide for a presentation titled "AI/ML for IC Design and EDA"
03:16:35
IEEE Seasonal School: Deep / Reinforcement Learning
216views
Chip Design,
Machine Learning,
Workshops and Tutorials
deep learning,
electronic design automation,
machine learning,
reinforcement learning
Title slide for a presentation by Dr. Maryam Fazel titled "On Policy Optimization Methods for Control"
54:45
TILOS Seminar: On Policy Optimization Methods for Control
277views
Foundations,
TILOS Seminar Series
control theory,
nonconvex optimization,
policy optimization,
reinforcement learning
Title slide for a presentation by Haoxing (Mark) Ren titled "Machine Learning for Design Methodology and EDA Optimization"
01:04:07
TILOS Seminar: ML for Design Methodology and EDA Optimization
302views
Chip Design,
Machine Learning,
TILOS Seminar Series
electronic design automation,
machine learning,
physics-based modeling,
reinforcement learning,
self-supervised learning
Title slide for a presentation by Sherief Reda titled "How to use Machine Learning for Combinatorial Optimization"
01:03:47
TILOS Seminar: How to use Machine Learning for Combinatorial Optimization
259views
Foundations,
Machine Learning,
TILOS Seminar Series
combinatorial optimization,
deep learning,
machine learning,
reinforcement learning
NSF UC San Diego Halıcıoğlu School of Data Science and Computing Brown University MIT National University Penn Texas Yale
OUR SISTER NSF AI INSTITUTES

This project is supported by the U.S. National Science Foundation under awards 2112665 and 2622219. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation.

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