Simons Institute Courses

Quantum Algorithms for Hamiltonian Simulation - Quantum Colloquium

1 review

Explore quantum algorithms for Hamiltonian simulation, their applications in chemistry and condensed matter systems, and their impact on solving linear systems and semidefinite programming.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

What Information Do the Voices of African Savanna Elephants Communicate?

1 review

Explore the fascinating world of elephant communication, from husky calls to rumbles, and learn how these vocalizations convey information in African savanna elephants.

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

Deciding Regular Games - A Playground for Exponential Time Algorithms

1 review

Explore exponential time algorithms for deciding regular games, examining their applications and implications in system design and analysis.

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

Understanding and Steering Generative AI Systems

Explore techniques for analyzing and directing AI systems' behavior, focusing on tools to identify patterns, improve accuracy, and enhance truthfulness in language and vision models.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

A Discrepancy-Based Theory of Domain Adaptation

Delve into domain adaptation theory through discrepancy concepts, exploring sample reweighting techniques and algorithmic applications for robust machine learning solutions.

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

Transfer Learning for Weak-to-Strong Generalization in Language Model Alignment

Explore how to effectively transfer latent knowledge from weak to strong language models, focusing on alignment techniques and practical applications in LLM development.

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

How Transformers Learn Causal Structure with Gradient Descent

Delve into the mathematical foundations of how transformer models learn and encode causal relationships through self-attention mechanisms and gradient-based training algorithms.

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

Label Noise and Machine Learning: Why Ignorance is Bliss

Explore theoretical frameworks for handling multi-class label noise in machine learning, focusing on relative signal strength and empirical risk minimization principles.

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

User-Level and Federated Local Differential Privacy in Statistical Inference

Explore fundamental statistical inference challenges in distributed data systems with differential privacy constraints across servers and users, focusing on privacy-preserving information transmission.

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

Transfer Learning via Local Convergence Rates of the Nonparametric Least Squares Estimator

Explore nonparametric least squares estimator's local convergence properties and their implications for transfer learning under covariate shift, focusing on weighted uniform norm optimization.

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

On Spurious Associations and Large Language Model Alignment

Delve into the complex relationship between LLM alignment goals and their unintended effects, exploring how targeted improvements may create unexpected output changes.

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

Distribution Shift in Ecological Data - Generalization vs. Specialization

Explore the balance between general and specific computer vision approaches for ecological challenges, focusing on data shifts, adaptation methods, and real-world applications.

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

The Data Addition Dilemma: Navigating Distribution Shifts in Machine Learning

Explore the complexities of combining data sources in machine learning, examining when adding more data helps or hurts model performance and fairness across different distributions.

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

The Evolution of Domain Transfer in the Era of Pre-trained Language Models

Explore the complex relationship between pre-trained language models and domain transfer, examining how pre-training affects model understanding and pattern recognition across different contexts.

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

Pseudo-Labeling for Covariate Shift Adaptation in Machine Learning

Explore advanced covariate shift adaptation techniques using pseudo-labeling methods for regression tasks, focusing on kernel ridge regression and bias-variance optimization for target distributions.

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