Milan Mossé
Philosophy Hall, UC Berkeley
gmail: milan.mosse
CV
Hello! Currently, I'm a philosophy PhD student at UC Berkeley, advised by Johann Frick and R. Jay Wallace. Before that, I studied philosophy, math, and computer science at Stanford, with a thesis supervised by Michael Bratman and Barry Maguire.
Papers
On Probabilistic and Causal Reasoning with Summation Operators
Duligur Ibeling, Thomas Icard, Milan Mossé
JLC, forthcoming (pdf)
How to Count Sore Throats
Léa Bourguignon, Milan Mossé
Analysis, forthcoming (pdf)
Social Choice for AI Alignment: Dealing with Diverse Human Feedback
Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley Holliday, Bob Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William Zwicker
ICML 2024 (pdf)
Probing the Quantitative-Qualitative Divide in Probabilistic Reasoning
Duligur Ibeling, Thomas Icard, Krzysztof Mierzewski, Milan Mossé
APAL 2023 (pdf)
Multiplicative Metric Fairness Under Composition
Milan Mossé
FORC 2023 (pdf)
Is Causal Reasoning Harder than Probabilistic Reasoning?
Milan Mossé, Duligur Ibeling, Thomas Icard
RSL 2022 (pdf) (van der Zander, Bläser, and Liśkiewicz 2023)
A Generalization of the Satisfiability Coding Lemma and Its Applications
Milan Mossé, Harry Sha, Li-Yang Tan
SAT 2022 (pdf) (best theory paper award)
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu, Milan Mossé, Chengxu Zhuang, Daniel Yamins, Noah Goodman
ICLR 2021 (pdf)
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mossé, Noah Goodman, Chris Piech
AAAI 2019 (pdf) (outstanding student paper award)
Note: where authors are listed alphabetically by last name, this indicates equal contribution.