Enviar búsqueda
Cargar
Dirichlet Process
•
2 recomendaciones
•
683 vistas
Sangwoo Mo
Seguir
Summary of [Ferguson 1973] (A Bayesian analysis of some nonparametric problems)
Leer menos
Leer más
Tecnología
Vista de diapositivas
Denunciar
Compartir
Vista de diapositivas
Denunciar
Compartir
1 de 48
Descargar ahora
Descargar para leer sin conexión
Recomendados
Chinese Restaurant Process
Chinese Restaurant Process
Mohitdeep Singh
Gaussian Quadrature Formula
Gaussian Quadrature Formula
Dhaval Shukla
S.N.Sivanandam & S.N. Deepa - Introduction to Genetic Algorithms 2008 ISBN 35...
S.N.Sivanandam & S.N. Deepa - Introduction to Genetic Algorithms 2008 ISBN 35...
edwinray3
Bayesian Nonparametrics: Models Based on the Dirichlet Process
Bayesian Nonparametrics: Models Based on the Dirichlet Process
Alessandro Panella
Bat Algorithm_Basics
Bat Algorithm_Basics
Designage Solutions
Gauss Forward And Backward Central Difference Interpolation Formula
Gauss Forward And Backward Central Difference Interpolation Formula
Deep Dalsania
Fuzzy logic
Fuzzy logic
Bhanu Poudyal
Fractional calculus and applications
Fractional calculus and applications
PlusOrMinusZero
Recomendados
Chinese Restaurant Process
Chinese Restaurant Process
Mohitdeep Singh
Gaussian Quadrature Formula
Gaussian Quadrature Formula
Dhaval Shukla
S.N.Sivanandam & S.N. Deepa - Introduction to Genetic Algorithms 2008 ISBN 35...
S.N.Sivanandam & S.N. Deepa - Introduction to Genetic Algorithms 2008 ISBN 35...
edwinray3
Bayesian Nonparametrics: Models Based on the Dirichlet Process
Bayesian Nonparametrics: Models Based on the Dirichlet Process
Alessandro Panella
Bat Algorithm_Basics
Bat Algorithm_Basics
Designage Solutions
Gauss Forward And Backward Central Difference Interpolation Formula
Gauss Forward And Backward Central Difference Interpolation Formula
Deep Dalsania
Fuzzy logic
Fuzzy logic
Bhanu Poudyal
Fractional calculus and applications
Fractional calculus and applications
PlusOrMinusZero
Brief History of Visual Representation Learning
Brief History of Visual Representation Learning
Sangwoo Mo
Learning Visual Representations from Uncurated Data
Learning Visual Representations from Uncurated Data
Sangwoo Mo
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
Sangwoo Mo
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
Sangwoo Mo
Self-supervised Learning Lecture Note
Self-supervised Learning Lecture Note
Sangwoo Mo
Deep Learning Theory Seminar (Chap 3, part 2)
Deep Learning Theory Seminar (Chap 3, part 2)
Sangwoo Mo
Deep Learning Theory Seminar (Chap 1-2, part 1)
Deep Learning Theory Seminar (Chap 1-2, part 1)
Sangwoo Mo
Introduction to Diffusion Models
Introduction to Diffusion Models
Sangwoo Mo
Object-Region Video Transformers
Object-Region Video Transformers
Sangwoo Mo
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Sangwoo Mo
Learning Theory 101 ...and Towards Learning the Flat Minima
Learning Theory 101 ...and Towards Learning the Flat Minima
Sangwoo Mo
Sharpness-aware minimization (SAM)
Sharpness-aware minimization (SAM)
Sangwoo Mo
Explicit Density Models
Explicit Density Models
Sangwoo Mo
Score-Based Generative Modeling through Stochastic Differential Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Sangwoo Mo
Self-Attention with Linear Complexity
Self-Attention with Linear Complexity
Sangwoo Mo
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Sangwoo Mo
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Sangwoo Mo
Generative Models for General Audiences
Generative Models for General Audiences
Sangwoo Mo
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Sangwoo Mo
Deep Learning for Natural Language Processing
Deep Learning for Natural Language Processing
Sangwoo Mo
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Igalia
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
Más contenido relacionado
Más de Sangwoo Mo
Brief History of Visual Representation Learning
Brief History of Visual Representation Learning
Sangwoo Mo
Learning Visual Representations from Uncurated Data
Learning Visual Representations from Uncurated Data
Sangwoo Mo
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
Sangwoo Mo
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
Sangwoo Mo
Self-supervised Learning Lecture Note
Self-supervised Learning Lecture Note
Sangwoo Mo
Deep Learning Theory Seminar (Chap 3, part 2)
Deep Learning Theory Seminar (Chap 3, part 2)
Sangwoo Mo
Deep Learning Theory Seminar (Chap 1-2, part 1)
Deep Learning Theory Seminar (Chap 1-2, part 1)
Sangwoo Mo
Introduction to Diffusion Models
Introduction to Diffusion Models
Sangwoo Mo
Object-Region Video Transformers
Object-Region Video Transformers
Sangwoo Mo
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Sangwoo Mo
Learning Theory 101 ...and Towards Learning the Flat Minima
Learning Theory 101 ...and Towards Learning the Flat Minima
Sangwoo Mo
Sharpness-aware minimization (SAM)
Sharpness-aware minimization (SAM)
Sangwoo Mo
Explicit Density Models
Explicit Density Models
Sangwoo Mo
Score-Based Generative Modeling through Stochastic Differential Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Sangwoo Mo
Self-Attention with Linear Complexity
Self-Attention with Linear Complexity
Sangwoo Mo
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Sangwoo Mo
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Sangwoo Mo
Generative Models for General Audiences
Generative Models for General Audiences
Sangwoo Mo
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Sangwoo Mo
Deep Learning for Natural Language Processing
Deep Learning for Natural Language Processing
Sangwoo Mo
Más de Sangwoo Mo
(20)
Brief History of Visual Representation Learning
Brief History of Visual Representation Learning
Learning Visual Representations from Uncurated Data
Learning Visual Representations from Uncurated Data
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
A Unified Framework for Computer Vision Tasks: (Conditional) Generative Model...
Self-supervised Learning Lecture Note
Self-supervised Learning Lecture Note
Deep Learning Theory Seminar (Chap 3, part 2)
Deep Learning Theory Seminar (Chap 3, part 2)
Deep Learning Theory Seminar (Chap 1-2, part 1)
Deep Learning Theory Seminar (Chap 1-2, part 1)
Introduction to Diffusion Models
Introduction to Diffusion Models
Object-Region Video Transformers
Object-Region Video Transformers
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Deep Implicit Layers: Learning Structured Problems with Neural Networks
Learning Theory 101 ...and Towards Learning the Flat Minima
Learning Theory 101 ...and Towards Learning the Flat Minima
Sharpness-aware minimization (SAM)
Sharpness-aware minimization (SAM)
Explicit Density Models
Explicit Density Models
Score-Based Generative Modeling through Stochastic Differential Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Self-Attention with Linear Complexity
Self-Attention with Linear Complexity
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Challenging Common Assumptions in the Unsupervised Learning of Disentangled R...
Generative Models for General Audiences
Generative Models for General Audiences
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Deep Learning for Natural Language Processing
Deep Learning for Natural Language Processing
Último
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Igalia
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
Puma Security, LLC
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Maria Levchenko
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Enterprise Knowledge
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
The Digital Insurer
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
Delhi Call girls
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
Delhi Call girls
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
Pixlogix Infotech
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Antenna Manufacturer Coco
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
RTylerCroy
Último
(20)
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Dirichlet Process
1.
A Bayesian Analysis of Some Nonparametric Problems (Ferguson, 1973) 2016.07.04 Sangwoo Mo
2.
Table of Contents • Brief Introduction • Dirichlet Process •
Applications
3.
Table of Contents • Brief Introduction • Dirichlet Process •
Applications
4.
Brief Introduction • In Bayesian Nonparametrics, we need a prior such that 1. support of prior is large 2. posterior is manageable • (Ferguson, 1973) is the first paper proposed Dirichlet Process that satisfies two conditions above •
Also, it suggests some applications using Bayes rule
5.
Table of Contents • Brief Introduction • Dirichlet Process •
Applications
6.
Dirichlet Process • There are several ways to formulate Dirichlet Process 1. Dirichlet Distribution approach (with Kolmogorov Consistency Theorem) 2. Gamma Process approach 3. Pólya (Blackwell-MacQueen) urn scheme (Chinese Restraunt Process for special case) 4. Stick Breaking Construction (with de Finetti’s Theorem)
7.
Dirichlet Process • There are several ways to formulate Dirichlet Process 1. Dirichlet Distribution approach (with Kolmogorov Consistency Theorem) 2. Gamma Process approach 3. Pólya (Blackwell-MacQueen) urn scheme (Chinese Restraunt Process for special case) 4. Stick Breaking Construction (with de Finetti’s Theorem)
8.
9.
Kolmogorov Consistency Theorem • Sum of two stochastic processes should consistently construct another stochastic process • Naively speaking, Kolmogorov Consistency Theorem states that for any (mild) finite-dimensional distributions, there exists a corresponding stochastic process
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
Dirichlet Process • There are several ways to formulate Dirichlet Process 1. Dirichlet Distribution approach (with Kolmogorov Consistency Theorem) 2. Gamma Process approach 3. Pólya (Blackwell-MacQueen) urn scheme (Chinese Restraunt Process for special case) 4. Stick Breaking Construction (with de Finetti’s Theorem)
21.
22.
23.
24.
25.
Dirichlet Process • There are several ways to formulate Dirichlet Process 1. Dirichlet Distribution approach (with Kolmogorov Consistency Theorem) 2. Gamma Process approach 3. Pólya (Blackwell-MacQueen) urn scheme (Chinese Restraunt Process for special case) 4. Stick Breaking Construction (with de Finetti’s Theorem)
26.
27.
28.
29.
Dirichlet Process • There are several ways to formulate Dirichlet Process 1. Dirichlet Distribution approach (with Kolmogorov Consistency Theorem) 2. Gamma Process approach 3. Pólya (Blackwell-MacQueen) urn scheme (Chinese Restraunt Process for special case) 4. Stick Breaking Construction (with de Finetti’s Theorem)
30.
31.
32.
Table of Contents • Brief Introduction • Dirichlet Process •
Applications
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47.
48.
End of Document
Descargar ahora