Rickmer Schulte @rickmer - Bluesky Profile

Latest posts by rickmer.bsky.social on Bluesky

Special thanks to my co-authors @davidruegamer.bsky.social and @tnagler.bsky.social—really enjoyed this collaboration!

13.07.2025 15:28 — 👍 1 🔁 0 💬 0 📌 0

In this work, we explore how pre-trained neural networks can be leveraged to adjust for confounding in treatment effect estimation involving complex data such as images or text—providing a principled approach to integrate non-tabular data into causal effect estimation.

13.07.2025 15:28 — 👍 3 🔁 0 💬 1 📌 0

Looking forward to presenting our paper "Adjustment for Confounding using Pre-Trained Representations" at #ICML2025 in Vancouver next week! 🎉🇨🇦

Feel free to check out our paper and reach out if you're attending or would like to discuss!

📄 Paper: arxiv.org/abs/2506.14329

13.07.2025 15:28 — 👍 9 🔁 1 💬 1 📌 0

MCML Researchers With 22 Papers at ICML 2025 We are happy to announce that MCML researchers are represented with 22 papers at ICML 2025.

MCML researchers will be represented at #ICML2025 with more than 20 accepted paper 🎉

Check them out: mcml.ai/news/2025-07...

11.07.2025 08:13 — 👍 5 🔁 2 💬 0 📌 0

It has been a great honour to presented our paper "Additive Model Boosting: New Insights and Path(ologie)s" at #AISTATS 2025!🚀 Joint work with @davidruegamer.bsky.social!

Check out the paper and feel free to reach out:
🔗 arxiv.org/abs/2503.05538

09.05.2025 17:16 — 👍 10 🔁 1 💬 0 📌 0

It seems that we have 3 accepted papers at ICML 2025 🔥

01.05.2025 12:32 — 👍 14 🔁 2 💬 5 📌 0

Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!

29.04.2025 20:54 — 👍 20 🔁 8 💬 0 📌 1

Arriving in Singapore this afternoon 🛬 I'll attend #ICLR2025, #AABI2025, and #AISTATS2025 together with many of my students and collaborators to present our 2 orals, 5 posters, and 14 workshop contributions 🚀

Feel free to drop by!

23.04.2025 03:14 — 👍 11 🔁 5 💬 1 📌 0

🔥🔥 Two papers accepted at #AISTATS2025 💪

- Oral: *Additive Model Boosting: New Insights and Path(ologie)s* by @rickmer.bsky.social
- Poster: *Paths and Ambient Spaces in Neural Loss Landscapes* from Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, Oliver Dürr

22.01.2025 10:20 — 👍 11 🔁 2 💬 0 📌 0

@rickmer is following 19 prominent accounts

Daniel Litt
@littmath

Assistant professor (of mathematics) at the University of Toronto. Algebraic geometry, number theory, forever distracted and confused, etc. He/him.

Ben Golub
@bengolub

economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine

Zeta Of 1
@zetaof1

Economist, Enthusiast of Chess, Math, Music and similar items. Data Dude. Some call me the space cowboy, some call me the gangster of love. Sober 10 years. Known to rearrange thoughts in other people's brains.

Emtiyaz Khan
@emtiyaz.mastodon.social.ap.brid.gy

Team leader (tenured) at RIKEN AIP. Opinions my own. https://emtiyaz.github.io 🌉 bridged from https://mastodon.social/@emtiyaz on the fediverse by https://fed.brid.gy/

Yoshua Bengio
@yoshuabengio

Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila. A.M. Turing Award Recipient and most-cited AI researcher. https://lawzero.org/en https://yoshuabengio.org/profile/

Grant Sanderson
@3blue1brown.com

Math videos

Pierre Alquier
@pierrealquier

Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈

François Fleuret
@francois.fleuret.org

Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org

Peyman Milanfar
@docmilanfar

Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org

Philipp Hennig
@philipphennig

Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.

Marco Cuturi
@marcocuturi

machine learning researcher @ Apple machine learning research

@tomgoldstein

@davidrundel

Daniel Racek
@dracek

Head of Data Science for Conflict Research CCEW @CISS PhD in Statistics from LMU

Bruno Galerne
@bgalerne

Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair. Interested in image processing and deep generative models. I teach generative models for imaging at #MasterMVA.

Anne-Laure Boulesteix
@boulesteixlaure

Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.

Miguel Hernan
@miguelhernan.org

https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social

Mauricio Olivares
@mauolivares

Research Worker in Econometrics at LMU Munich | Previously UCL, UIUC and ITAM | Mexicano 🇲🇽

Michael Schomaker
@mfschomaker

Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io