This is the official code for our NeurIPS 2024 publication: RMLR: Extending Multinomial Logistic Regression into General Geometries.

Abstract: In the last few years, the support vector machine (SVM) method has motivated new interest in kernel regression techniques. Although the SVM has been shown to exhibit excellent generalization ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...

The vehicles on American roads have grown larger — and they are killing thousands more pedestrians, a Times investigation ...

Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...

Statistical analysis included descriptive analysis, chi-square test, and multivariable logistic regression. P values <.05 were deemed statistically significant. Results: No HIV seroconversions were ...

Background Understanding the ‘real-world’ challenges of delivery of pre-exposure prophylaxis (PrEP) among men who have sex ...