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#Markov Chain Monte Carlo

Showing: 33 courses
Simons Institute

When Do Dependencies in Your Data Help? - Emerging Generalization Settings

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Explore how dependencies in data can overcome computational barriers in learning graphical models, using the Glauber dynamics process as a natural data generation method.
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1 Lesons
59 minutes
On-Demand
Free-Video
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
Ox educ

Bayesian Statistics - A Comprehensive Course

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Comprehensive introduction to Bayesian statistics, covering key concepts, probability distributions, and practical applications with minimal mathematical complexity.
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55 Lesons
6 hours
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Markov Chain Monte Carlo

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Explore Markov Chain Monte Carlo methods, from basic concepts to advanced techniques like Hamiltonian Monte Carlo, with practical applications and diagnostics for statistical modeling.
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9 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking - Markov Chain Monte Carlo

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Explore Markov chain Monte Carlo and Hamiltonian Monte Carlo methods, including practical implementation in Stan and diagnostic techniques for statistical modeling.
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9 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Simons Institute

Sampling Crash Course

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Explore geometric methods in optimization and sampling, covering direct methods, Markov chain Monte Carlo, and probabilistic approaches for efficient algorithm design and analysis.
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15 Lesons
1 hour 3 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
Fields Institute

MCMC Training of Bayesian Neural Networks

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Explore Bayesian Neural Networks, MCMC methods, and their applications in machine learning with Prof. Radford Neal. Gain insights into flexible modeling and practical implementations.
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22 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Alan Turing Institute

Stratification for Markov Chain Monte Carlo

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Explore advanced Markov Chain Monte Carlo techniques, focusing on stratification methods for complex systems modeling and statistical inference in various scientific domains.
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1 Lesons
39 minutes
On-Demand
Free-Video

Statistical Rethinking 2023

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Comprehensive exploration of advanced statistical concepts, from basic models to complex techniques like Gaussian Processes and Generalized Linear Models, enhancing analytical skills for data interpretation.
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20 Lesons
1 day 1 hour 41 minutes
On-Demand
Free-Video
Isaac Newton Institute for Mathematical Sciences

From Quantum Entanglement to Future Data-Driven Engineering - Rothschild Lecture

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Explore high-dimensional Bayesian statistics in engineering, focusing on efficient data-physical model integration and uncertainty quantification. Learn about multilevel MCMC and measure-transport approaches.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
MICDE University of Michigan

Multiscale Generalized Hamiltonian Monte Carlo with Delayed Rejection

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Explore advanced sampling techniques combining generalized Hamiltonian Monte Carlo and delayed rejection for efficient multiscale distribution sampling, overcoming limitations of standard HMC methods.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Neuro Symbolic

Markov Random Fields, Markov Chains, and Markov Logic Networks - Probabilistic Graphical Models Tutorial

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Explore Markov Random Fields, Logic Networks, and Chains. Dive into probabilistic graphical models with Professor Simari, covering key concepts and applications in AI and machine learning.
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10 Lesons
44 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
Probabilistic AI School

Bayesian Workflow

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Learn Bayesian workflow techniques for probabilistic modeling, from problem formulation to model evaluation and iteration, enhancing your data analysis skills.
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1 Lesons
2 hours 4 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Sampling through Exploration Exploitation in Markov Chain Monte Carlo

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Explore an innovative Markov chain Monte Carlo algorithm combining global proposals and mobile moves for efficient, parallelizable sampling in various applications.
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1 Lesons
35 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
Institut des Hautes Etudes Scientifiques (IHES)

Mathematical Foundation of Various MCMC Methods

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Explore advanced MCMC methods for combinatorial optimization, including multi-spin flip techniques. Compare mathematical and numerical results to evaluate efficiency in different contexts.
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1 Lesons
51 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

An Exploration-Agnostic Characterization of the Ergodicity of Parallel Tempering

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Explore non-reversible parallel tempering's ergodicity in complex distributions, examining its efficiency and comparing it to classical methods through theoretical analysis and simulations.
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1 Lesons
48 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Functional Priors for Bayesian Deep Learning

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Explore functional priors for Bayesian deep learning, focusing on imposing Gaussian process priors on neural networks through Wasserstein distance minimization.
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1 Lesons
58 minutes
On-Demand
Free-Video
Valence Labs

Timewarp: Transferable Acceleration of Molecular Dynamics by Time-Coarsened Dynamics

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Explore Timewarp: a transferable method for accelerating molecular dynamics simulations using normalizing flows, enhancing sampling efficiency for equilibrium properties of molecular systems.
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9 Lesons
55 minutes
On-Demand
Free-Video
Valence Labs

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics

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Explore accelerated molecular dynamics simulation using Timewarp, a transferable AI method for efficient sampling of molecular systems and discovery of metastable states.
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12 Lesons
1 hour 15 minutes
On-Demand
Free-Video
ACM SIGPLAN

Bayesian Inference Using Probabilistic Programming

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Explore Bayesian inference techniques and probabilistic programming concepts with expert insights from Hong Ge at LAFI'24.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Conf42

Probabilistic Programming in Python - Conf42 Python 2024

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Explore Bayesian statistics, probabilistic modeling, and MCMC in Python. Learn key concepts and practical applications through demonstrations and workflow explanations.
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11 Lesons
14 minutes
On-Demand
Free-Video
The Julia Programming Language

Cognitive Computational Modeling Made Easy with Julia

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Explore cognitive computational modeling using Julia, featuring ActionModels.jl for flexible simulations and HierarchicalGaussianFiltering.jl for advanced learning and perception models.
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1 Lesons
28 minutes
On-Demand
Free-Video
Centrum Fizyki Teoretycznej PAN

Statistical Analysis in Cosmology: Goodness-of-Fit and Model Selection - Part 2

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Explore advanced statistical methods in cosmology, including model selection, MCMC, chi-square, and p-value analysis for robust data interpretation.
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1 Lesons
49 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 2

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Explore advanced concepts in probabilistic programming, focusing on practical applications and techniques for scientific computing and data analysis.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Better Science Through Better Bayesian Computation - 2015

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Explore Bayesian computation for data analysis in science and engineering. Learn about Bayesian optimization and scalable Markov chain Monte Carlo techniques for improved hypothesis testing and decision-making.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Neurosymbolic Programming for Science

Probabilistic Programming Tutorial - Part 1

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Explore probabilistic programming fundamentals and applications with MIT expert Vikash Mansinghka in this comprehensive tutorial.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Centrum Fizyki Teoretycznej PAN

Statistical Analysis in Cosmology - Part 1

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Explore Bayesian statistics, likelihood sampling, chi-square, and covariance matrix in cosmology. Learn parameter estimations in 2-point statistics and Markov Chain Monte Carlo.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Wasserstein Gradient Flows and Applications to Sampling in Machine Learning - Lecture 1

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Explore Wasserstein gradient flows and their applications to sampling in machine learning through an in-depth lecture by Anna Korba.
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1 Lesons
1 hour 31 minutes
On-Demand
Free-Video
Generative Memory Lab

Action Matching: Learning Stochastic Dynamics from Samples

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Learn stochastic dynamics from samples using action matching techniques. Explore innovative approaches to understanding and modeling complex systems through data-driven methods.
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1 Lesons
1 hour 34 minutes
On-Demand
Free-Video
Probabilistic AI School

Probabilistic Modeling and Programming Tutorial - Lecture 1

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Explore probabilistic modeling and programming techniques with expert guidance, enhancing your AI and machine learning skills through hands-on tutorials and practical examples.
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1 Lesons
1 hour 48 minutes
On-Demand
Free-Video