A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics

19 August 2019

Papers citing "A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics"

7 / 7 papers shown

Title
A Pattern Language for Machine Learning Tasks Benjamin Rodatz Ian Fan Tuomas Laakkonen Neil John Ortega Thomas Hoffman Vincent Wang-Ma'scianica 107 3 0 02 Jul 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 123 3 0 20 Nov 2023
Probabilistic morphisms and Bayesian nonparametrics Jürgen Jost H. Lê Tat Dat Tran 38 4 0 27 May 2019
A Convenient Category for Higher-Order Probability Theory C. Heunen Ohad Kammar S. Staton Hongseok Yang 58 161 0 10 Jan 2017
Beyond Bell's Theorem II: Scenarios with arbitrary causal structure Tobias Fritz 93 109 0 18 Apr 2014
Causality in Bayesian Belief Networks Marek J Druzdzel H. Simon CML 77 145 0 06 Mar 2013
On the computability of conditional probability N. Ackerman Cameron E. Freer Daniel M. Roy TPM 133 24 0 17 May 2010