Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

High-Dimensional Calibration from Swap Regret

Authors: Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider

NeurIPS 2025 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical Answer: [Yes] Justification: We prove all theorems and lemmas. Guidelines: The answer NA means that the paper does not include theoretical results. All the theorems, formulas, and proofs in the paper should be numbered and crossreferenced.
Researcher Affiliation Collaboration Maxwell Fishelson EMAIL Noah Golowich EMAIL Mehryar Mohri EMAIL Jon Schneider EMAIL MIT. MIT. Supported by a NSF Graduate Research Fellowship and a Fannie & Hertz Foundation Graduate Fellowship. Google Research and Courant Institute of Mathematical Sciences, New York. Google Research.
Pseudocode Yes Algorithm 1 Tree Cal(P, T, H, L) [...] Algorithm 2 Tree Swap.Alg(P, L, T, H, L), labeled variant (see Appendix C.1)
Open Source Code No Answer: [NA] Justification: The paper does not include experiments requiring code.
Open Datasets No Answer: [NA] Justification: The paper does not include experiments.
Dataset Splits No Answer: [NA] Justification: The paper does not include experiments.
Hardware Specification No Answer: [NA] Justification: The paper does not include experiments.
Software Dependencies No Answer: [NA] Justification: The paper does not include experiments.
Experiment Setup No Answer: [NA] Justification: The paper does not include experiments.