Stein Variational Gradient Descent
This presentation was part of the course "Monte Carlo Methods in Machine Learning and Artificial Intelligence" at TU Berlin.

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Geometric Aspects of Sampling and Optimization

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On the geometry of Stein variational gradient descent and related ensemble sampling methods

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Reinventing Entropy | Compression is Intelligence Part 1

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Only Dangerously Smart People Think Like This

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Viktor Stein (TU Berlin): Accelerated Stein Variational Gradient Descent

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Andrew Duncan – On the Geometry of Stein Variational Gradient Descent

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But what is a Laplace Transform?

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Stochastic Gradient Descent, Clearly Explained!!!

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The weirdest paradox in statistics (and machine learning)

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Understanding Variational Autoencoders (VAEs)

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Electrons Don't Actually Orbit Like This

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We're 99.9% sure this pattern is true, but no one can prove it

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What is a Hilbert Space?
![Yann LeCun's $1B Bet Against LLMs [Part 1]](https://i.ytimg.com/vi/kYkIdXwW2AE/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDbV4izF3i-wxevCVIn7FJjoy1vlA)
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Yann LeCun's $1B Bet Against LLMs [Part 1]

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Stein Variational Gradient Descent: Fast Finite-Particle Convergence..... by Dheeraj Nagaraj

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Some applications of Stein's method

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Gradient Descent in 3 minutes

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6. Monte Carlo Simulation

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Gradient Flows For Sampling, Inference, and Learning

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