Media Summary: High Dimensional Hamilton-Jacobi PDEs 2020 Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs " Variational Inference tries to fit a surrogate posterior to mimic the true posterior. But how should we choose the surrogate posterior ... Big Data Conference 8/31/23 Speaker: Mark Sellke (Harvard) Title:

Algorithmic Thresholds For Mean Field - Detailed Analysis & Overview

High Dimensional Hamilton-Jacobi PDEs 2020 Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs " Variational Inference tries to fit a surrogate posterior to mimic the true posterior. But how should we choose the surrogate posterior ... Big Data Conference 8/31/23 Speaker: Mark Sellke (Harvard) Title: Probability and Statistics Invited Lecture 12.16 This presentation was given on July 20th 2020 on the "Thematic day on the We develop a mathematical framework that interprets Transformer attention as an interacting particle system and studies its ...

Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number ... Prof. Sebastian Jaimungal, University of Toronto, will give a talk at the Alan Turing Institute on two areas of his research in ...

Photo Gallery

Algorithmic Thresholds for Mean-Field Spin Glasses - Mark Sellke
Grigorios Pavliotis: "Mean field limits of weakly interacting diffusions and applications"
Mean Field Approach for Variational Inference | Intuition & General Derivation
Mark Sellke | Algorithmic Thresholds for Spherical Spin Glasses
Mean field asymptotics in high-dimensional statistics – A. Montanari – ICM2018
Konstantinos Spiliopoulos - Mean field limits of neural networks: typical behavior and fluctuations
Roberto I. Oliveira - A mean-field theory for certain deep neural networks
Philippe Rigollet: The mean-field dynamics of transformers
Tight Algorithmic Thresholds for Spin Glass Hamiltonians
An introduction to the mean field approximation
Greg Pavliotis (DDMCS@Turing): Phase transitions for mean field limits of noisy interacting agents
Reinforcement and mean-field games in algorithmic trading - Sebastian Jaimungal
View Detailed Profile
Algorithmic Thresholds for Mean-Field Spin Glasses - Mark Sellke

Algorithmic Thresholds for Mean-Field Spin Glasses - Mark Sellke

Probability Seminar Topic:

Grigorios Pavliotis: "Mean field limits of weakly interacting diffusions and applications"

Grigorios Pavliotis: "Mean field limits of weakly interacting diffusions and applications"

High Dimensional Hamilton-Jacobi PDEs 2020 Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs "

Mean Field Approach for Variational Inference | Intuition & General Derivation

Mean Field Approach for Variational Inference | Intuition & General Derivation

Variational Inference tries to fit a surrogate posterior to mimic the true posterior. But how should we choose the surrogate posterior ...

Mark Sellke | Algorithmic Thresholds for Spherical Spin Glasses

Mark Sellke | Algorithmic Thresholds for Spherical Spin Glasses

Big Data Conference 8/31/23 Speaker: Mark Sellke (Harvard) Title:

Mean field asymptotics in high-dimensional statistics – A. Montanari – ICM2018

Mean field asymptotics in high-dimensional statistics – A. Montanari – ICM2018

Probability and Statistics Invited Lecture 12.16

Konstantinos Spiliopoulos - Mean field limits of neural networks: typical behavior and fluctuations

Konstantinos Spiliopoulos - Mean field limits of neural networks: typical behavior and fluctuations

This presentation was given on July 20th 2020 on the "Thematic day on the

Roberto I. Oliveira - A mean-field theory for certain deep neural networks

Roberto I. Oliveira - A mean-field theory for certain deep neural networks

This presentation was given on July 20th 2020 on the "Thematic day on the

Philippe Rigollet: The mean-field dynamics of transformers

Philippe Rigollet: The mean-field dynamics of transformers

We develop a mathematical framework that interprets Transformer attention as an interacting particle system and studies its ...

Tight Algorithmic Thresholds for Spin Glass Hamiltonians

Tight Algorithmic Thresholds for Spin Glass Hamiltonians

Mark Sellke (Stanford University) ...

An introduction to the mean field approximation

An introduction to the mean field approximation

To explain the

Greg Pavliotis (DDMCS@Turing): Phase transitions for mean field limits of noisy interacting agents

Greg Pavliotis (DDMCS@Turing): Phase transitions for mean field limits of noisy interacting agents

Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number ...

Reinforcement and mean-field games in algorithmic trading - Sebastian Jaimungal

Reinforcement and mean-field games in algorithmic trading - Sebastian Jaimungal

Prof. Sebastian Jaimungal, University of Toronto, will give a talk at the Alan Turing Institute on two areas of his research in ...

A Multiscale Analysis of Mean-Field Transformer Models | Andrea Agazzi (University of Bern)

A Multiscale Analysis of Mean-Field Transformer Models | Andrea Agazzi (University of Bern)

A Multiscale Analysis of