Simons Institute Courses

A New Perspective on Adversarial Perturbations

Explore adversarial perturbations in deep learning, their impact on ML models, and new perspectives on robustness, transferability, and data efficiency in AI systems.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent

Explore deep learning optimization and generalization through gradient descent trajectories, uncovering insights into neural network behavior and performance.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

High Dimensional Expanders - Introduction and Motivation

Explore high-dimensional expanders, their applications in error-correcting codes, and the motivations behind this emerging field of mathematics and computer science.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Algorithms and the Law

Explore the intersection of algorithms and law with experts discussing implications, challenges, and potential solutions in this thought-provoking panel discussion.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Morning Session- Causality

Explore racial bias in data, examining tensions between quantitative and qualitative approaches. Experts discuss implications for fairness and accuracy in research and decision-making.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Genomics, Medicine, Epidemiology and Data Interpretation

Explore racial bias in genomics, medicine, and epidemiology with experts discussing data interpretation challenges and the tension between quantitative and qualitative approaches.

• YouTube
• 1 hour 51 minutes
• Self-Paced
• Free Video

Implicit Regularization II

Explore implicit regularization in deep learning, focusing on advanced concepts and their impact on model performance and generalization.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Recent Developments in Over-parametrized Neural Networks - Part II

Explore cutting-edge advancements in over-parametrized neural networks, focusing on optimization techniques and theoretical foundations in deep learning.

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

Generalization III

Explore advanced concepts in generalization theory with experts Peter Bartlett and Sasha Rakhlin, delving into deep learning applications and theoretical foundations.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Approximation Power

Explore deep learning's approximation capabilities, focusing on theoretical foundations and practical implications for neural network design and performance optimization.

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

Algorand - The Truly Distributed Ledger

Explore Algorand's innovative blockchain technology, its pure proof-of-stake approach, and how it addresses challenges in distributed ledger systems for enhanced scalability and security.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

The Structure of Optimal Private Tests for Simple Hypotheses

Explore optimal private tests for simple hypotheses, examining their structure and implications for data analysis in privacy-preserving contexts.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Deterministic Approximation of the Ising Partition Function

Explore advanced techniques for approximating the Ising partition function, focusing on deterministic methods and their applications in statistical physics and computational complexity.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

The Predictive Brain

Explore the fascinating world of predictive cognition with experts discussing cutting-edge research on how our brains anticipate and process information, shaping our perception and decision-making.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Some Applications of Contextual Integrity

Explore applications of contextual integrity in data privacy, examining its foundations and real-world implications for protecting personal information.

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