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Representable Markov Categories and Comparison of Statistical
  Experiments in Categorical Probability
v1v2v3 (latest)

Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability

14 October 2020
Tobias Fritz
Tomáš Gonda
Paolo Perrone
E. F. Rischel
ArXiv (abs)PDFHTML

Papers citing "Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability"

5 / 5 papers shown
Title
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Georgios Bakirtzis
M. Savvas
Ruihan Zhao
Sandeep Chinchali
Ufuk Topcu
77
2
0
23 Aug 2024
Categorical semantics of compositional reinforcement learning
Categorical semantics of compositional reinforcement learning
Georgios Bakirtzis
M. Savvas
Ufuk Topcu
CoGe
91
4
0
29 Aug 2022
The algebra and machine representation of statistical models
The algebra and machine representation of statistical models
Evan Patterson
AI4CE
23
9
0
16 Jun 2020
A synthetic approach to Markov kernels, conditional independence and
  theorems on sufficient statistics
A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics
Tobias Fritz
53
183
0
19 Aug 2019
Comparison of quantum statistical models: equivalent conditions for
  sufficiency
Comparison of quantum statistical models: equivalent conditions for sufficiency
F. Buscemi
92
70
0
21 Apr 2010
1