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#Importance Sampling

Showing: 19 courses
Computational Genomics Summer Institute CGSI

Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture

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Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
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1 Lesons
29 minutes
On-Demand
Free-Video
International Mathematical Union

Enhancing Markov Chain Monte Carlo Sampling Methods with Deep Learning

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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.
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13 Lesons
46 minutes
On-Demand
Free-Video
Alan Turing Institute

Structured Dynamic Graphical Models & Scaling Multivariate Time Series

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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.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

An Introduction to State-Space Models, Particle Filters, and Sequential Monte Carlo - Lecture 1

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Explore state-space models, particle filters, and sequential methods in Bayesian statistics with Nicolas Chopin's comprehensive introduction to these advanced mathematical concepts.
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1 Lesons
1 hour 51 minutes
On-Demand
Free-Video
Probabilistic AI School

Monte Carlo Methods

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Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.
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1 Lesons
2 hours 26 minutes
On-Demand
Free-Video
Prof. Ryan C. Cooper

ME3255 - Quantitative Descriptions on Monte Carlo Models

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Explore Monte Carlo models through quantitative descriptions, enhancing understanding of statistical simulation techniques and their applications in engineering and science.
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1 Lesons
25 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Automated Scalable Bayesian Inference via Data Summarization - 2018

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Explore scalable Bayesian inference techniques using data summarization. Learn about coresets, theoretical guarantees, and practical applications in large-scale data settings.
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11 Lesons
59 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Sampling Rare Trajectories in Complex Systems

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Explore advanced techniques for sampling rare trajectories in complex systems, enhancing understanding of critical events and system behavior.
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1 Lesons
22 minutes
On-Demand
Free-Video
Yannic Kilcher

Infinite Memory Transformer - Research Paper Explained

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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.
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11 Lesons
37 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Efficiency Tricks for Neural Nets

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Explore efficiency techniques for neural networks in NLP, including GPU optimization, parallel training, and softmax approximations for large vocabularies.
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23 Lesons
43 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Fitting Over & Under

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Explore advanced statistical concepts including cross-validation, regularization, and robust regression to enhance model fitting and selection techniques in data analysis.
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8 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2022 - Overfitting

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Explore overfitting in statistical modeling, covering cross-validation, regularization, information criteria, and robust regression techniques for improved predictive accuracy.
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10 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Simons Institute

Batch Offline Reinforcement Learning - Part 1

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Explore offline reinforcement learning theory, covering key concepts, challenges, and evaluation methods for developing AI systems using pre-collected data.
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18 Lesons
59 minutes
On-Demand
Free-Video
Simons Institute

A Classical Algorithm Framework for Dequantizing Quantum Machine Learning

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Explore dequantization of quantum machine learning algorithms, focusing on classical techniques for approximating quantum linear algebra and their implications for QML speedups.
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16 Lesons
34 minutes
On-Demand
Free-Video
Paul G. Allen School

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

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Explore batch/counterfactual reinforcement learning techniques to optimize decision-making with minimal data, focusing on policy evaluation, generalization bounds, and applications in healthcare simulations.
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14 Lesons
50 minutes
On-Demand
Free-Video
Nvidia

Rendering Games with Millions of Ray Traced Lights

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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.
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12 Lesons
21 minutes
On-Demand
Free-Video
Valence Labs

Flow Annealed Importance Sampling Bootstrap - Machine Learning for Complex Distributions

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Explore Flow Annealed Importance Sampling Bootstrap for approximating complex target distributions. Learn about normalizing flows, annealed importance sampling, and applications to molecular systems.
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8 Lesons
1 hour 33 minutes
On-Demand
Free-Video
USENIX

Fast Inference for Probabilistic Graphical Models

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Innovative system for efficient probabilistic graphical model inference, offering significant speedup through optimized memory management, parallelization, and flexible integration with sampling algorithms.
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1 Lesons
18 minutes
On-Demand
Free-Video
Unreal Engine

Real-Time Path Tracing in Unreal Engine 5

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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.
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1 Lesons
36 minutes
On-Demand
Free-Video