Institute for Advanced Study Courses

Extreme Eigenvalue Distributions of Sparse Random Graphs - Jiaoyang Huang

Explore extreme eigenvalue distributions in sparse random graphs, covering empirical distributions, edge expansion, routing graphs, and universal properties. Gain insights into mathematical physics and graph theory.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Lie Algebras and Homotopy Theory - Jacob Lurie

Explore connections between Lie algebras and homotopy theory, covering fundamental groups, Whitehead brackets, and Quillen's theorem in this advanced mathematics seminar.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Deep Reinforcement Learning in the Real World - Sergey Levine

Explore deep reinforcement learning applications in real-world scenarios, focusing on off-policy methods, model-free and model-based approaches, and their practical implementations in robotics and manipulation tasks.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Black Metaphors - Cord Whitaker

Exploring medieval roots of modern racism, this talk examines how alt-right groups misuse medieval imagery and how understanding historical race-thinking can help combat contemporary racism.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Robust Control with Perception in the Loop- Towards Open-World Manipulation - Russ Tedrake

Explore dexterous manipulation, category-level manipulation, and robust control for open-world robotics. Learn policy representation, evaluation methods, and future directions in this field.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Towards Structural Risk Minimization for RL - Emma Brunskill

Explore structural risk minimization in reinforcement learning, focusing on efficient learning of risk-sensitive policies using conditional value at risk and optimistic exploration techniques.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Algorithmic Cruelty and the Hidden Costs of Ghost Work - Mary Gray

Explore the hidden world of digital labor, examining automation's paradoxes, algorithmic impacts, and the social costs of today's platform-based work economy.

• YouTube
• 24 minutes
• On-Demand
• Free Video

How Will Artificial Intelligence Change Ethics? - Pedro Domingos

Explore AI's impact on privacy, fairness, work, ethics, warfare, governance, and social media, examining how it challenges our understanding of human uniqueness.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Pseudoholomorphic Curves with Boundary - Can You Count Them? Can You Really? - Sara Tukachinsky

Explore pseudoholomorphic curves with boundary, their counting challenges, and innovative approaches in Gromov-Witten theory with Sara Tukachinsky's advanced mathematical seminar.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Extremal Set Theory - Andrey Kupavskii

Explore extremal set theory with Andrey Kupavskii, covering shifting techniques, partial orders, and the Katniss Theorem. Gain insights into minimizing shadows and analyzing complex cases in discrete mathematics.

• YouTube
• 1 hour 52 minutes
• On-Demand
• Free Video

Sparse Matrices in Sparse Analysis - Anna Gilbert

Explore sparse matrices in compressive sensing, focusing on expander graphs and their applications. Learn about metric repair scenarios and algorithms for sparse signal recovery.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Primes and Knots - Akshay Venkatesh

Explore surprising parallels between number theory and 3D geometry, uncovering connections that continue to shape mathematical research.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Explore optimization landscapes and two-layer neural networks, focusing on non-convexity, saddle points, and symmetric distributions in theoretical machine learning.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Red Supergiants - New Perspectives on Dying Stars - Emily Levesque

Explore new perspectives on red supergiants, their characteristics, and significance in stellar evolution. Learn about observational techniques, binary interactions, and implications for supernova research.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Explore causal factors behind deep learning generalization, examining measures like path norm, flatness, and gradient noise to predict and understand model performance.

• YouTube
• 33 minutes
• On-Demand
• Free Video