Importance Sampling Courses and Certifications

Valence Labs

Flow Annealed Importance Sampling Bootstrap - Machine Learning for Complex Distributions

Explore Flow Annealed Importance Sampling Bootstrap for approximating complex target distributions. Learn about normalizing flows, annealed importance sampling, and applications to molecular systems.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video

Particle Filters (and Navigation)

Learn to develop and implement particle filters for nonlinear state estimation, focusing on Monte-Carlo integration, importance sampling, and resampling techniques. Apply these skills to solve indoor navigation problems.

• Coursera
• 21 hours 55 minutes
• Self-Paced
• Paid Course

Validation of Safety Critical Systems

Master mathematical validation techniques for autonomous systems using sampling methods, formal verification, and reachability analysis in safety-critical applications.

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

Yannic Kilcher

Infinite Memory Transformer - Research Paper Explained

Explores innovative Transformer model with unbounded memory, enabling processing of arbitrarily long sequences. Discusses continuous attention mechanisms, sticky memories, and potential applications in language modeling.

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

Richard McElreath

Statistical Rethinking 2022 - Overfitting

Explore overfitting in statistical modeling, covering cross-validation, regularization, information criteria, and robust regression techniques for improved predictive accuracy.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Unreal Engine

Real-Time Path Tracing in Unreal Engine 5

Discover groundbreaking real-time path tracing techniques using ReSTIR technology in UE5, achieving offline-quality lighting and visuals that match the Path Tracer's capabilities in real-time rendering.

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

Artem Kirsanov

Hidden Beauty Behind Generative AI: Variational Inference and ELBO

Delve into the mathematical foundations of generative AI through variational inference and ELBO concepts, exploring how intelligent systems model probability distributions effectively.

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

Nvidia

Rendering Games with Millions of Ray Traced Lights

Explore advanced ray tracing techniques for rendering games with millions of lights, focusing on importance sampling and resampling methods to achieve stunning visual effects efficiently.

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

Richard McElreath

Statistical Rethinking 2023 - Fitting Over & Under

Explore advanced statistical concepts including cross-validation, regularization, and robust regression to enhance model fitting and selection techniques in data analysis.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Simons Institute

Batch Offline Reinforcement Learning - Part 1

Explore offline reinforcement learning theory, covering key concepts, challenges, and evaluation methods for developing AI systems using pre-collected data.

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

Simons Institute

A Classical Algorithm Framework for Dequantizing Quantum Machine Learning

Explore dequantization of quantum machine learning algorithms, focusing on classical techniques for approximating quantum linear algebra and their implications for QML speedups.

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

Simons Institute

Quantum-Inspired Classical Linear Algebra

Explore quantum-inspired classical algorithms for linear algebra, including sketching, sampling, and low-rank approximation techniques in this advanced computational talk.

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

Simons Institute

First-Order Stochastic Optimization

Explore first-order stochastic optimization techniques for machine learning, covering gradient descent, adaptive learning, and convergence rates in data science applications.

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

Graham Neubig

Neural Nets for NLP - Efficiency Tricks for Neural Nets

Explore efficiency techniques for neural networks in NLP, including GPU optimization, parallel training, and softmax approximations for large vocabularies.

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

Alan Turing Institute

Structured Dynamic Graphical Models & Scaling Multivariate Time Series

Explore advanced Bayesian methods for multivariate time series forecasting, focusing on scalability and model complexity. Learn about dynamic dependency networks and graphical dynamic linear models with real-world applications.

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