Pierre-Alexandre Mattei
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
The first talk of the second day was also Bayesian! @julyanarbel.bsky.social gave a nice overview of Bayesian deep learning.
June 3, 2025 at 8:02 AM
The first talk of the second day was also Bayesian! @julyanarbel.bsky.social gave a nice overview of Bayesian deep learning.
The Journées de Statistique of the @statfr.bsky.social is one of my favorite conferences! It started with the Le Cam award being given to Judith Rousseau for her work on Bayesian asymptotics. Judith talked about semiparametric Bernstein-von Mises theorems and her new love for the Bayesian bootstrap.
June 2, 2025 at 8:59 AM
The Journées de Statistique of the @statfr.bsky.social is one of my favorite conferences! It started with the Le Cam award being given to Judith Rousseau for her work on Bayesian asymptotics. Judith talked about semiparametric Bernstein-von Mises theorems and her new love for the Bayesian bootstrap.
… folowed by Frédéric Precioso, Aude Sportisse, and Benjamin Billot in the afternoon!
April 3, 2025 at 9:18 PM
… folowed by Frédéric Precioso, Aude Sportisse, and Benjamin Billot in the afternoon!
Today was the first day of invited talks of GeMSS/Statlearn @gemssai.bsky.social with great lectures by @glouppe.bsky.social and Yingzhen Li in the morning…
April 3, 2025 at 9:18 PM
Today was the first day of invited talks of GeMSS/Statlearn @gemssai.bsky.social with great lectures by @glouppe.bsky.social and Yingzhen Li in the morning…
And, finally, the VAE lectures 🧡 by @jesfrellsen.bsky.social
March 31, 2025 at 3:19 PM
And, finally, the VAE lectures 🧡 by @jesfrellsen.bsky.social
Followed by @jmtomczak.bsky.social on mixtures models and probabilistic circuits!
March 31, 2025 at 9:49 AM
Followed by @jmtomczak.bsky.social on mixtures models and probabilistic circuits!
Next, @quecalcoatle.bsky.social explains practical paths towards ethics in AI
November 27, 2024 at 1:43 PM
Next, @quecalcoatle.bsky.social explains practical paths towards ethics in AI
Followed by Serena Villata talking about good (and bad) arguments
November 27, 2024 at 11:11 AM
Followed by Serena Villata talking about good (and bad) arguments
Opening of the 2025 SohIA summit with @ldaudet.bsky.social on agents and generative models !
November 27, 2024 at 9:15 AM
Opening of the 2025 SohIA summit with @ldaudet.bsky.social on agents and generative models !
Cute 🕵️♂️
From Hansen and Marinacci’s discussion on « Apprroxilate models and robust decisions » by Watson & Holmes
From Hansen and Marinacci’s discussion on « Apprroxilate models and robust decisions » by Watson & Holmes
November 22, 2024 at 2:16 PM
Cute 🕵️♂️
From Hansen and Marinacci’s discussion on « Apprroxilate models and robust decisions » by Watson & Holmes
From Hansen and Marinacci’s discussion on « Apprroxilate models and robust decisions » by Watson & Holmes
This kind of figure is vastly superior to anything that can be made using TikZ, matplotlib, or ggplot.
From this nice paper by Meehan and Zhang (2020), which blend measure theory, subjective Bayesian inference, and philosophy.
www.jstor.org/stable/45386...
From this nice paper by Meehan and Zhang (2020), which blend measure theory, subjective Bayesian inference, and philosophy.
www.jstor.org/stable/45386...
November 19, 2024 at 12:05 PM
This kind of figure is vastly superior to anything that can be made using TikZ, matplotlib, or ggplot.
From this nice paper by Meehan and Zhang (2020), which blend measure theory, subjective Bayesian inference, and philosophy.
www.jstor.org/stable/45386...
From this nice paper by Meehan and Zhang (2020), which blend measure theory, subjective Bayesian inference, and philosophy.
www.jstor.org/stable/45386...
At the end of their (technical!) book on Markov diffusion semigroups, Bakry, Gentil and Ledoux came up with an interesting epilogue: the recipe of chicken "à la Gaston Gérard".
"After all, the content of this book is nothing but a sequence of recipes."
"After all, the content of this book is nothing but a sequence of recipes."
November 18, 2024 at 8:23 PM
At the end of their (technical!) book on Markov diffusion semigroups, Bakry, Gentil and Ledoux came up with an interesting epilogue: the recipe of chicken "à la Gaston Gérard".
"After all, the content of this book is nothing but a sequence of recipes."
"After all, the content of this book is nothing but a sequence of recipes."