Institute for Advanced Study Courses

Statistical Learning Theory for Modern Machine Learning - John Shawe-Taylor

Explore statistical learning theory's role in modern machine learning, covering PAC-Bayes framework, risk measures, and deep network training experiments with John Shawe-Taylor.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Nonlinear Independent Component Analysis - Aapo Hyvärinen

Explore nonlinear independent component analysis, its applications in AI and unsupervised learning, and recent advancements in deep latent variable models with Aapo Hyvärinen.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

On the Critic Function of Implicit Generative Models - Arthur Gretton

Explore implicit generative models' critic function, divergence measures, and energy-based models with Arthur Gretton. Gain insights into topological properties, neural net divergences, and multimodality in machine learning.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning - Peter Stone

Explore efficient robot skill learning through grounded simulation, imitation learning, and off-policy reinforcement learning. Discover innovative approaches for transferring skills from simulation to real-world robots.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Many Body Scars as a Group Invariant Sector of Hilbert Space - Kiryl Pakrouski

Explore quantum many-body scars as group-invariant Hilbert space sectors, examining their properties, energy gaps, and implications for high-temperature quantum systems and long-range correlations.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Priors for Semantic Variables - Yoshua Bengio

Explore semantic variables, learning theory, and cognitive processes with Yoshua Bengio. Delve into attention mechanisms, causality, and modular recurrent networks for advanced machine learning insights.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Non-Perturbative Studies of JT Gravity and Supergravity Using Minimal Strings - Clifford V. Johnson

Explore non-perturbative aspects of JT gravity and supergravity through minimal strings, covering topics like double scaling limit, Dyson gas, and complex matrix models.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

Distinguishing Monotone Lagrangians via Holomorphic Annuli - Ailsa Keating

Explore advanced symplectic geometry concepts, focusing on distinguishing monotone Lagrangians through holomorphic annuli, with insights on geometric mutation and moduli spaces.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Instance-Hiding Schemes for Private Distributed Learning

Explore private distributed learning techniques, including instance-hiding schemes, cryptographic methods, and data augmentation, with insights on privacy laws and practical applications.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

The Challenges of Model-Based Reinforcement Learning and How to Overcome Them - Csaba Szepesvári

Explore challenges in model-based reinforcement learning, including modeling errors and efficient planning, and discover strategies to overcome them in complex environments.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Independence of ℓ for Frobenius Conjugacy Classes Attached to Abelian Varieties - Rong Zhou

Explore Frobenius conjugacy classes in abelian varieties, focusing on independence of ℓ, Mumford-Tate groups, and connections to Shimura varieties and CM liftings.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Floer Cohomology and Arc Spaces - Mark McLean

Explore Floer cohomology, arc spaces, and symplectic geometry with Mark McLean. Delve into contact structures, jet spaces, and mapping moduli spaces in this advanced mathematical lecture.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

What Do Our Models Learn? - Aleksander Mądry

Exploring machine learning model behavior, biases in datasets, and challenges in dataset creation and replication for more robust and reliable AI systems.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Mirrors of Curves and Their Fukaya Categories - Denis Auroux

Explore symplectic geometry with Denis Auroux as he delves into mirrors of curves and their Fukaya categories, covering topics from monomial examples to Lagrangian admissibility.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Neural SDEs - Deep Generative Models in the Diffusion Limit - Maxim Raginsky

Explore deep generative models through stochastic control, diffusion limits, and neural nets. Learn about efficient sampling, expressiveness quantification, and unbiased simulation techniques.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video