📜 Reading list#

I spent a non-negligible part of my time opening new browser tabs with blog posts and papers luring to understand new concepts in machine learning, statistics, public health and social science. I never take the time to read them, but I keep adding them here. It increases the chance that I read them at some point.

Statistics#

Causal Inference#

An introduction to Double/Debiased Machine Learning : Goal is making the link with the efficient estimator error decomposition on Schuler website, 4.1 Naive Plug-In Estimation and the double machine learning framework of Chernozhukov.
✅ Modern causal inference, Alejandro Schuler, 2024-WIP : Causal inference from the influence function culture.
✅ Chernozhukov book on causal ML
✅ Wager course on causal inference, Stats-361 : Super clear and quite accessible book on causal inference by Wager with a focus on econometrics.
Measurement bias and effect restoration in causal inference, Kuroki and Pearl, 2014 foundations on proxy learning.
Off-policy evaluation
✅ The E-value, measuring the effect of potential unmeasured counfounder : A simple tool to measure what should be the effect of a confounder to shift the estimate.

Large Language Models#

Training Large Language Models to Reason in a Continuous Latent Space: Meta paper on reasonning tokens in LLMs, recommended by Simmon Willison.

Machine Learning#

Implicit Layer : Neural ODE stuffs, continuous process.
✅ Language Models: A guide for the Perplexed, 2023: un cours de Noah Smith de AI2.

Other statistical stuffs#

Geographical statistics: Introduction à la gémoatique poour le statisticien, Semecurbe, Coudin, 2022

Mathematics#

Proofs without words: the example of the Ramanujan continued fraction

Healthcare#

Training on grade

Sustainable healthcare#

Healthcare economy#

France Healthcare system review 2023, Irdes
Enquêtes sur les bénéficiaires de l’expérimentation PEPS, 2024, Irdes
✅ Mousquès, J. (2023). Déserts médicaux en soins de premier recours: un regard économique. Les Tribunes de la santé, (4), 57-63.: Point d’entrée intéressant sur la relation offre demande en santé en France.
Basu A, Carlson J, Veenstra D. Health years in total: a new health objective function for cost-effectiveness analysis. Value Health. 2020

Sustainable technology#

[Murray Bookchin, vers une technologie libératrice](Vers une technologie libératrice)

Economy#

Cost management and behaviors, by Riveline

Sociology#

Hartmut Rosa, Accélération. Une critique sociale du temps
Harry M. Marks, The Progress of Experiment: Science and Therapeutic Reform in the United States