Joint work w/ Safwan Hossain and Yiling Chen.
Paper link: arxiv.org/pdf/2508.03289
Come and drop by our poster session for more details!
4/4
01.12.2025 20:31 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Key takeaway: A statistical decision rule doesn't just make decisions; it determines who shows up to be evaluated.
3/n
01.12.2025 20:31 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
We build a game-theoretic model of this interaction and show that there exists a computable critical p-value threshold ฮฑ that cleanly structures false positives & negative errors. Empirically, it aligns with FDA data!
2/n
01.12.2025 20:31 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
I'll be @neuripsconf.bsky.social presenting Strategic Hypothesis Testing (spotlight!)
tldr: Many high-stakes decisions (e.g., drug approval) rely on p-values, but people submitting evidence respond strategically even w/o p-hacking. Can we characterize this behavior & how policy shapes it?
1/n
01.12.2025 20:31 โ ๐ 10 ๐ 3 ๐ฌ 1 ๐ 0
We have an amazing line of keynote speakers: @iaugenstein.bsky.social, Josรฉ Hernรกndez-Orallo, @gaelvaroquaux.bsky.social, Laura Weidinger, and Emine Yilmaz.
Submit your work and join us in Copenhagen ๐ฉ๐ฐ!
22.09.2025 13:45 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
We (w/ Moritz Hardt, Olawale Salaudeen and
@joavanschoren.bsky.social) are organizing the Workshop on the Science of Benchmarking & Evaluating AI @euripsconf.bsky.social 2025 in Copenhagen!
๐ข Call for Posters: rb.gy/kyid4f
๐
Deadline: Oct 10, 2025 (AoE)
๐ More info: rebrand.ly/bg931sf
22.09.2025 13:45 โ ๐ 21 ๐ 7 ๐ฌ 1 ๐ 0
researcher studying privacy, security, reliability, and broader social implications of algorithmic systems ยท fake doctor working at a real hospital
website: https://kulyny.ch
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
PhD Candidate in Machine Learning at the Max Planck Institute for Intelligent Systems
Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability.
Home page: https://www.cis.upenn.edu/~exwong/
Lab page: https://brachiolab.github.io/
Research blog: https://debugml.github.io/
Researcher, Microsoft Research; Faculty, Information Science, Cornell University
PhD student at UPenn, in machine learning / responsible AI and game theory.
guptavarun.com
OR PhD student @ GaTech ISyE เงน Interested in Differential Privacy, Algorithmic Game Theory, Mechanism Design, Data Markets เงน https://sites.google.com/view/dsen
PhD Student in Machine Learning @unituebingen.bsky.social, @ml4science.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; previously intern @vectorinstitute.ai; jzenn.github.io
Assistant Professor of Operations Research and Statistics, MIT. Interested in social computing, human-in-the-loop of AI decision making, recommendation systems, and AI policy.
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Associate professor at the Department of Business and Management, fellow at the Danish Institute of Advanced Study, University of Southern Denmark
PhD student @ Cornell info sci | Sociotechnical fairness & algorithm auditing | Previously Stanford RegLab, MSR FATE, Penn | https://emmaharv.github.io/
Human-Centric Machine Learning at the Max Planck Institute for Software Systems
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
AI x storytelling
AI Engineering: https://amazon.com/dp/1098166302
Designing ML Systems: http://amazon.com/dp/1098107969
@chipro
We are a joint partnership of University of Tรผbingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint
https://tuebingen.ai/privacy-policy#c1104
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
