• New Sections:
  • Thesis: Causal Representation learning and point process.
  • Review: Imbens's review.
• Conference update: LLMs are causal parrots.
• ML papers: Causal bandits, causal treatment outcome prediction.

• New books: Chernozhukov et. al. (2024), Hurwitz-Thompson (2023).
• Logo: Penrose meets Pearl.
• Nobel Memorial Prize 2021, Laureates names.
• Datasets Hunninton-Klein R package.
• Software section clean-up: Sub-sections.
• Additional conference links.
• Simpson's paradox section updates.
• MOOC; mixsessions.io Course material.

Causal discovery additions & IV & H-Theorem

• Causal discovery additions: Huber, Blondel , Spirtes
• Instrumental Variable (IV) chapter.
• H-Theorem do-conjecture.

• Nuggets started: A new section for resource list.

• New books (Huber, Forré-Mooij), additional links to existing ones.

• Papers on: Review of Simpson's Paradox discovery, twin-deep networks in causality, axiomatic formation paper.

• New software updates: pymc introducing do-operator.

• New books
• Theory papers: Measure theoretic.

• A new section, featuring Editor's selections.
• New Python packages.
• Physics Causal Set Theory papers.
• Game theory paper.
• And additions.

• Software: MS research and AWS updates, CRAN task view.
• New Academics section.
• New talks
• Combinatorial discovery.
• JP new papers.
• paper updates

• New books: JP's collected works, Huntington-Klein
• Fairness survey.
• PO/DAG comparisons
• Discovery toolbox

• Nobel 2021 scientific summary.
• JP on potential outcomes.
• EconML, UpliftML python.
• Pearl 2017 re-print.
• Rubin 2005 paper.
• Minor format, Gelman follow ups.

• Holland's paper.
• physics: time-like curves.
• dowhy package.
• R package
• Simpson's paradox and blog posts dedicated section.
• Gelman blog.
• Minor fix links/toc