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#Theoretical Machine Learning

Showing: 12 courses
Simons Institute

Toward Understanding In-Context Learning

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Dive into the mechanisms of in-context learning in large language models, exploring theoretical explanations and simplified data distributions with Stanford's Tengyu Ma.
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1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Institute for Advanced Study

Learning Probability Distributions - What Can, What Can't Be Done - Shai Ben-David

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Explore probability distribution learning, its possibilities and limitations. Shai Ben-David discusses density estimation, sample compression schemes, and challenges in statistical learning theory.
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19 Lesons
57 minutes
On-Demand
Free-Video
Institute for Advanced Study

Latent Stochastic Differential Equations for Irregularly-Sampled Time Series - David Duvenaud

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Explore advanced techniques for analyzing irregularly-sampled time series data using latent stochastic differential equations, with applications in predictive modeling and continuous-time machine learning.
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17 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Institute for Advanced Study

Interpolation in Learning - Steps Towards Understanding When Overparameterization Is Harmless, When It Helps, and When It Causes Harm

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Explore overparameterization in machine learning, its benefits, potential harm, and the double descent phenomenon. Gain insights into interpolation regimes and matrix intuition.
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14 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Institute for Advanced Study

Your Brain on Energy-Based Models - Applying and Scaling EBMs to Problems

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Explore energy-based models in machine learning, covering applications, scaling techniques, and their impact on classification, calibration, and robustness in AI systems.
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10 Lesons
45 minutes
On-Demand
Free-Video
Institute for Advanced Study

Understanding Deep Neural Networks - From Generalization to Interpretability

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Explore deep neural networks, focusing on generalization and interpretability. Delve into graph convolutional networks, spectral filtering, and transferability. Examine fundamental questions and relevance mapping in machine learning.
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20 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Institute for Advanced Study

Latent State Recovery in Reinforcement Learning - John Langford

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Explore latent state recovery in reinforcement learning, covering core problems, alternative approaches, and state abstraction. Gain insights from John Langford's expertise in theoretical machine learning.
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16 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Institute for Advanced Study

On the Critic Function of Implicit Generative Models - Arthur Gretton

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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.
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29 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Institute for Advanced Study

Priors for Semantic Variables - Yoshua Bengio

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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.
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19 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Institute for Advanced Study

Instance-Hiding Schemes for Private Distributed Learning

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Explore private distributed learning techniques, including instance-hiding schemes, cryptographic methods, and data augmentation, with insights on privacy laws and practical applications.
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15 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Institute for Advanced Study

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

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Explore optimization landscapes and two-layer neural networks, focusing on non-convexity, saddle points, and symmetric distributions in theoretical machine learning.
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13 Lesons
58 minutes
On-Demand
Free-Video
VinAI

Faster Saddle-Point Optimization for Solving Large-Scale Markov Decision Processes

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Explore advanced techniques for optimizing large-scale Markov decision processes using saddle-point methods. Gain insights into theoretical reinforcement learning and linear programming formulations.
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1 Lesons
40 minutes
On-Demand
Free-Video