To Describe or Construct Statistical Learning Models Using the Category-theoretical Language

To Describe or Construct Statistical Learning Models Using the Category-theoretical Language

arXiv:2608. 03706v1 Announce Type: new Abstract: Statistical learning is a fascinating field that has long been the mainstream of machine learning/artificial intelligence.

Machine Learning Experts - Sasha Luccioni

Everywhere Learning: Artificial Intelligence with Pointwise Constraints

arXiv:2606. 01557v1 Announce Type: new Abstract: Everywhere learning is a new paradigm whereby Artificial Intelligence (AI) systems are trained to satisfy loss constraints with probability one over the data distribution.

Fitting and Learning Basis-Restricted Propositional Formulas

arXiv:2609.08961v1 Announce Type: cross Abstract: For a finite set $O$ of Boolean functions, we consider the class of propositional formulas built using the functions in $O$ as connectives. We determ...

Information-Theoretic Foundations for Machine Learning

arXiv:2407. 12288v5 Announce Type: replace-cross Abstract: The progress of machine learning over the past decade is undeniable.

Introduction to Semi-Supervised Learning

A primer about Semi-Supervised Learning, the approaches taken with different algorithms and the limitations of using unlabelled data. The post Introduction to Semi-Supervised Learning appeared first on Towards Data Science .