Social And Emotional Learning Courses

Simons Institute

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Explore adversarially trained smoothed classifiers for robust deep learning, covering theory, implementation, and experimental results in this technical talk.

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

Simons Institute

Mad Max - Affine Spline Insights into Deep Learning

Explore deep learning through spline theory, focusing on max-affine splines and their role in neural networks, data memorization, and network complexity.

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

Simons Institute

On the Foundations of Deep Learning - SGD, Overparametrization, and Generalization

Explore foundations of deep learning, focusing on SGD, overparametrization, and generalization. Delve into optimization dynamics, margin theory, and the impact of network architecture on performance.

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

Simons Institute

Learning and Generalization in Over-parametrized Neural Networks - Going Beyond Kernels

Explore neural network learning and generalization beyond kernel methods, examining tangent kernels, learning algorithms, and complexity in over-parametrized networks.

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

Simons Institute

From Classical Statistics to Modern Machine Learning

Explore the evolution from classical statistics to modern machine learning, examining key concepts like generalization, interpolation, and the "double descent" phenomenon in supervised learning.

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

Simons Institute

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

Explore efficient model-based algorithms for reinforcement and imitation learning, addressing challenges in learning dynamics and uncertainty, with practical examples and evaluations.

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

Simons Institute

What is Your Data Worth? Equitable Data Valuation in Machine Learning

Explore equitable data valuation in machine learning, focusing on Data Shapley Value and its applications in healthcare, face recognition, and NLP.

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

Simons Institute

Backpropagation and Deep Learning in the Brain

Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.

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

Simons Institute

Working Memory Influences Reinforcement Learning Computations in Brain and Behavior

Explore how working memory influences reinforcement learning in the brain, examining experimental results, genetic factors, and EEG data to uncover neural mechanisms of learning.

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

Simons Institute

The Prefrontal Cortex as a Meta-Reinforcement Learning System

Explore the prefrontal cortex's role in meta-reinforcement learning, connecting neuroscience and AI through recurrent neural networks and cognitive tasks like Harlow's experiment.

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

Simons Institute

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Explore hidden theory and cutting-edge algorithms in reinforcement learning, covering topics like choleric relaxation, Watkins key function, and applications in finance and trading.

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

Simons Institute

Nonnegative Polynomials, Nonconvex Polynomial Optimization, and Applications to Learning

Explore nonnegative polynomials and nonconvex optimization, focusing on shape-constrained regression and DC programming. Learn powerful relaxation techniques and their applications in machine learning.

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

Simons Institute

Machine Learning for Healthcare Data

Explore machine learning applications in healthcare, focusing on chronic kidney disease, sepsis, and surgical outcomes, with insights on transfer learning and predictive modeling.

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

Simons Institute

Efficient Distributed Deep Learning Using MXNet

Explore distributed deep learning with MXNet, covering practical challenges, deployment strategies, and advanced techniques for efficient large-scale machine learning implementations.

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

Simons Institute

Unsupervised Representation Learning

Explore hierarchical representation learning, common sense AI, and advanced neural network architectures with Yann LeCun. Gain insights into unsupervised learning and video prediction techniques.

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