Importance Sampling Courses and Certifications

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
• 23 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Brooklyn Quant Experience Lecture Series - Fourier-Based Methods for Complex Insurance Products Management

Explore Fourier-based methods for managing complex insurance products, focusing on variable annuities and their valuation using advanced mathematical techniques.

• YouTube
• 1 hour 3 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Paul G. Allen School

ADSI Summer Workshop: Algorithmic Foundations of Learning and Control - Emma Brunskill

Explore batch/counterfactual reinforcement learning techniques to optimize decision-making with minimal data, focusing on policy evaluation, generalization bounds, and applications in healthcare simulations.

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

International Mathematical Union

Enhancing Markov Chain Monte Carlo Sampling Methods with Deep Learning

Explore advanced techniques combining Markov Chain Monte Carlo sampling with deep learning, focusing on importance sampling, normalizing flows, and non-equilibrium methods for enhanced efficiency in high-dimensional problems.

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

Center for Language & Speech Processing(CLSP), JHU

Automated Scalable Bayesian Inference via Data Summarization - 2018

Apresentação sobre inferência bayesiana escalável usando sumarização de dados, focando em técnicas de "coreset" para reduzir conjuntos de dados mantendo a qualidade da aproximação posterior.

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

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Sampling Rare Trajectories in Complex Systems

Explora técnicas avanzadas para muestrear trayectorias raras en sistemas complejos, analizando métodos estadísticos y computacionales para estudiar eventos poco frecuentes pero significativos.

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

Valence Labs

Flow Annealed Importance Sampling Bootstrap - Machine Learning for Complex Distributions

Explore Flow Annealed Importance Sampling Bootstrap: a novel approach for approximating complex target distributions using normalizing flows, with applications in physics and machine learning.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video