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#Gibbs Sampling

Showing: 15 courses
Serrano.Academy

Natural Language Processing

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Explore Latent Dirichlet Allocation through a two-part series, covering its fundamentals and training using Gibbs Sampling.
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2 Lesons
30 minutes
On-Demand
Free-Video
The National Centre for Research Methods

Advanced Bayesian Methods

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Explore advanced Bayesian computational techniques including Metropolis Hastings, Gibbs sampling, and convergence assessment for efficient statistical analysis and modeling.
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6 Lesons
1 hour 30 minutes
On-Demand
Free-Video
BIMSA

Bayesian Quantile Joint Modeling of Multivariate Longitudinal and Time-to-Event Data

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Explore Bayesian quantile joint modeling for multivariate longitudinal and time-to-event data, focusing on non-Gaussian outcomes and time-varying covariates in medical research applications.
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1 Lesons
54 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

LISA and the Global Analysis of Galactic Binary Gravitational Wave Signals

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Explore LISA's role in detecting galactic binary gravitational waves, including data analysis challenges, global fitting techniques, and future prospects for multi-source gravitational wave detection.
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15 Lesons
27 minutes
On-Demand
Free-Video
Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

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Comprehensive explanation of Latent Dirichlet Allocation (LDA) with Gibbs Sampling, covering topic modeling, posterior inference, and implementation details. Ideal for those interested in understanding this classic machine learning technique.
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10 Lesons
33 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Gibbs Sampling for Convex Bodies and an L_0 Isoperimetric Inequality

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Explore Gibbs sampling for high-dimensional distributions, focusing on convergence guarantees and conductance bounds for sampling from convex bodies. Gain insights into this widely-used algorithm's efficiency and limitations.
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1 Lesons
26 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA

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Explore how Restricted Boltzmann Machines can be applied to Maximum Satisfiability problems, leveraging neural network accelerators for efficient stochastic search in combinatorial optimization.
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1 Lesons
56 minutes
On-Demand
Free-Video
Simons Institute

Scalable and Reliable Inference for Probabilistic Modeling

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Explore scalable and reliable inference techniques for probabilistic modeling, focusing on Metropolis-Hastings, Gibbs sampling, and stochastic gradient MCMC methods for efficient data analysis and deep learning applications.
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31 Lesons
42 minutes
On-Demand
Free-Video
Simons Institute

Quantum Computational Advantage With Constant-Temperature Gibbs Sampling

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Explore quantum computational advantage through constant-temperature Gibbs sampling, examining thermalization processes and their implications for quantum systems and classical algorithms.
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1 Lesons
38 minutes
On-Demand
Free-Video
Joint Mathematics Meetings

Alternate Minimization and Scaling Algorithms - Theory, Applications and Connections Across Mathematics and Computer Science

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Explore alternate minimization and scaling algorithms, their applications, and connections across mathematics and computer science with Avi Wigderson's in-depth lecture.
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14 Lesons
52 minutes
On-Demand
Free-Video
Serrano.Academy

Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2

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Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.
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10 Lesons
27 minutes
On-Demand
Free-Video
Serrano.Academy

Restricted Boltzmann Machines - A Friendly Introduction

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Friendly introduction to Restricted Boltzmann Machines using real-life examples. Covers key concepts like probabilities, training, contrastive divergence, and Gibbs sampling for machine learning enthusiasts.
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15 Lesons
37 minutes
On-Demand
Free-Video
Simons Institute

Gibbs State Preparation for Commuting Hamiltonian - Mapping to Classical Gibbs Sampling

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Explore quantum Gibbs state preparation through mapping commuting Hamiltonians to classical systems, focusing on efficient sampling methods and applications in quantum computing.
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1 Lesons
51 minutes
On-Demand
Free-Video
Simons Institute

Exactly Detailed-Balanced Quasi-Local Quantum Dynamics for Gibbs Sampling

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Explore quantum dynamics and Gibbs sampling through detailed-balanced systems, focusing on mathematical approaches to quantum algorithms and open quantum systems.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Introduction to Quantum Gibbs Samplers - Algorithmic Ingredients

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Explore quantum Gibbs sampling algorithms, from classical Markov chains to Lindbladians, with emphasis on Metropolis algorithms and phase estimation techniques for quantum systems.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video