iiinova — where your digital self keeps evolving

Nic Fishman

@njw.fish

289 followers 410 following 88 posts

Using computers to read the entrails of modernity (statistics, optimization, machine learning). Currently: Stats PhD @Harvard Previously: CS/Soc @Stanford, Stat/ML @Oxford njw.fish

Posts Replies Media

Nic Fishman @njw.fish · 09/03/2026

There's a growing worry that AI will break empirical social science -- that agents can p-hack until they find something that "works." We think that worry deserves to be taken seriously. Our new paper shows that is true empirically and makes it precise: njw.fish/static/paper...

njw.fish

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Nic Fishman @njw.fish · 06/03/2026

New paper: "Distribution-Conditioned Transport" Modern scientific datasets don't contain one population — they contain thousands. Clones, donors, patients, each its own distribution. DCT learns transport maps that generalize across them, including to distributions never seen during training.

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Nic Fishman @njw.fish · 04/12/2025

This project was accepted at #NeurIPS2025! We will be presenting today at 4:30 in Exhibit Hall C,D,E Poster Location: #1805! Swing by and learn about multiscale modeling, distribution representation learning, and some cool statistics!

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Nic Fishman @njw.fish · 26/05/2025

🚨 New preprint 🚨 We introduce Generative Distribution Embeddings (GDEs) — a framework for learning representations of distributions, not just datapoints. GDEs enable multiscale modeling and come with elegant statistical theory and some miraculous geometric results! 🧵

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Nic Fishman @njw.fish · 12/12/2024

Excited to share our new work on causal sensitivity analysis for fairness metrics at #NeurIPS2024! We've developed a causal sensitivity analysis framework to understand how underlying measurement biases (encoded by DAGs) impact machine learning fairness evaluations. 1 / 5

A pair of DAGs representing proxy bias and selection bias.

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Nic Fishman @njw.fish · 10/12/2024

I’m at NeurIPS! If you’re in Vancouver and want to catch up let me know! I’ve been working at the intersection of generative models and causal inference, focused on bio/healthcare. If anything from active learning to causal foundation models sound interesting I’d love to chat!

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Nic Fishman @njw.fish · 20/09/2023

i guess its time to start posting here more regularly?

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Nic Fishman @njw.fish · 03/07/2023

another day writing a custom qp solver, another day doing more linear algebra than could possibly be healthy

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Nic Fishman @njw.fish · 02/07/2023

are there any active set methods for least squares that allow for equality and inequality constraints while preserving sparsity? i have not found any...

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