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..
The Geometry and Calculus of Losses
Authors: Robert C. Williamson, Zac Cranko
JMLR 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper contains no new algorithms and no experimental results. What it does contain is a new way of looking at loss functions which 1) illustrates the close connection between losses and norms and anti-norms; 2) presents the new idea of an antipolar loss; 3) develops a calculus for loss functions that allows multiple proper loss functions to be combined in a manner that the resulting loss is guaranteed proper; and 4) shows how the geometrical perspective can be used to design loss functions. |
| Researcher Affiliation | Academia | Robert C. Williamson EMAIL University of Tübingen and Tübingen AI Center, Germany; Zac Cranko EMAIL Sydney, Australia |
| Pseudocode | No | The paper contains no new algorithms and no experimental results. What it does contain is a new way of looking at loss functions... |
| Open Source Code | No | The paper contains no new algorithms and no experimental results. |
| Open Datasets | No | The paper contains no new algorithms and no experimental results. |
| Dataset Splits | No | The paper contains no new algorithms and no experimental results. |
| Hardware Specification | No | The paper contains no new algorithms and no experimental results. |
| Software Dependencies | No | The paper contains no new algorithms and no experimental results. |
| Experiment Setup | No | The paper contains no new algorithms and no experimental results. |