$\mathbb{P}$robably Approximately Wrong

An infrequent blog, by Nicola Branchini

About me

This very infrequent blog is by me, Nicola Branchini.
I am a graduate researcher in Statistics in the School of Mathematics at the University of Edinburgh, advised by Prof. Víctor Elvira.

I am interested broadly in statistical methodology around efficient uncertainty quantification, decision making, probabilistic reasoning, computational statistics, and machine learning. More specifically, I am interested in methods for (possibly adaptive) Importance Sampling, experimental design, and causal inference.


I like collaborating with people. If you do research in very related topics, feel free to drop me an email. Some specific topics I am working on now directly and/or want to use in my work in the future are:

News

Reviewing

Journals

Statistics and Probability Letters

Conferences

AISTATS 2023, AABI (workshop) 2023, NeurIPS 2023, ICLR 2024, AISTATS 2024

Talks & Posters

Awards

"Basically, I’m not interested in doing research and I never have been. I’m interested in understanding, which is quite a different thing. And often to understand something you have to work it out yourself because no one else has done it"

- David Blackwell

"Getting numbers is easy; getting numbers you can trust is hard."

- Ron Kohavi, Diane Tang, Ysa Xu (from the book "Trustworthy Online Controlled Experiments")

Some background

Previously, I was a Research Assistant at the Alan Turing Institute, working within the Warwick Machine Learning Group and supervised by Prof. Theo Damoulas. Previous to that, I was a Master’s student in the School of Informatics at the University of Edinburgh where I was supervised by Prof. Víctor Elvira working on auxiliary particle filters. As undergrad, I studied Computer Science at the University of Warwick, where I did my BSc dissertation on reproducing AlphaZero supervised by Dr. Paolo Turrini.

Random selection of nice reads

Worth having the physical version.

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