activity
20192026
most citedRepresentable Markov Categories and Comparison of Statistical Experiments in Categorical Probability

28 citations · 77 across the 9 of their papers we have counts for

collaborators

9 papers

math.CT2026

Clock systems for stochastic and non-deterministic categorical systems theories

Owen Lynch, David Jaz Myers, Eigil Fjeldgren Rischel +1

One of the characteristic features of categorical systems theory is that the behavior of systems can be characterized by certain morphisms into them. In other words, behaviors form…

math.OC2026

Convex Duality Made Difficult

Eigil Fjeldgren Rischel

The study of convex functions - in particular, of their optimization (really minimization) is one of the most important fields of applied mathematics. Convexity seems to be one of…

math.CT2025

The Universal Property of Measure-Theoretic Probability

Eigil Fjeldgren Rischel

Building on work of Chen, we give a universal property of the Markov category BorelStoch of standard Borel spaces and Markov kernels between them. To do this, we introduce a new no…

cs.LO2025★ 1 cited

Metric Equational Theories

Radu Mardare, Neil Ghani, Eigil Rischel

This paper proposes appropriate sound and complete proof systems for algebraic structures over metric spaces by combining the development of Quantitative Equational Theories (QET)…

math.CT2021★ 3 cited

Fibre optics

Dylan Braithwaite, Matteo Capucci, Bruno Gavranović +2

Lenses, optics and dependent lenses (or equivalently morphisms of containers, or equivalently natural transformations of polynomial functors) are all widely used in applied categor…

math.CT2021★ 22 cited

Towards Foundations of Categorical Cybernetics

Matteo Capucci, Bruno Gavranović, Jules Hedges +1

We propose a categorical framework for processes which interact bidirectionally with both an environment and a 'controller'. Examples include open learners, in which the controller…

stat.ML2021★ 1 cited

Compositional Abstraction Error and a Category of Causal Models

Eigil F. Rischel, Sebastian Weichwald

Interventional causal models describe several joint distributions over some variables used to describe a system, one for each intervention setting. They provide a formal recipe for…

math.ST2020★ 28 cited

Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability

Tobias Fritz, Tomáš Gonda, Paolo Perrone +1

Markov categories are a recent categorical approach to the mathematical foundations of probability and statistics. Here, this approach is advanced by stating and proving equivalent…

math.CT2019★ 22 cited

Infinite products and zero-one laws in categorical probability

Tobias Fritz, Eigil Fjeldgren Rischel

Markov categories are a recent category-theoretic approach to the foundations of probability and statistics. Here we develop this approach further by treating infinite products and…