Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)

30 January 2013

Papers citing "Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)"

36 / 36 papers shown

Title
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference Marcel Wienöbst Sebastian Weichwald Leonard Henckel 17 0 0 18 Jun 2025
A Graphical Approach to State Variable Selection in Off-policy Learning Joakim Blach Andersen Qingyuan Zhao CML OffRL 72 0 0 03 Jan 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 179 2 0 01 Dec 2024
Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs Malte Luttermann Tanya Braun Ralf Möller Marcel Gehrke 106 2 0 11 Nov 2024
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies H. Jeong Adiba Ejaz Jin Tian Elias Bareinboim 58 2 0 22 Sep 2024
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version) Björn Filter Ralf Möller Özgür L. Özçep FedML 58 0 0 04 Jul 2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning Leonard Henckel Theo Würtzen Sebastian Weichwald CML 105 11 0 13 Feb 2024
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Jing Liu K. Parsons Yunus Bicer Deniz Erdogmus 62 0 0 12 Oct 2023
On Imperfect Recall in Multi-Agent Influence Diagrams James Fox Matt MacDermott Lewis Hammond Paul Harrenstein Alessandro Abate Michael Wooldridge 85 4 0 11 Jul 2023
Containing a spread through sequential learning: to exploit or to explore? Xingran Chen Hesam Nikpey Jungyeol Kim S. Sarkar Shirin Saeedi Bidokhti 35 1 0 01 Mar 2023
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs Marcel Wienöbst Benito van der Zander Maciej Liskiewicz CML 101 4 0 29 Nov 2022
A Complete Criterion for Value of Information in Soluble Influence Diagrams Chris van Merwijk Ryan Carey Tom Everitt 72 5 0 23 Feb 2022
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs Nitesh Kumar Ondrej Kuzelka Luc de Raedt 28 3 0 26 Jan 2022
Agent Incentives: A Causal Perspective Tom Everitt Ryan Carey Eric D. Langlois Pedro A. Ortega Shane Legg CML 74 56 0 02 Feb 2021
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality Arjun Choudhry Mandar Sharma Pramod Chundury T. Kapler Derek W. S. Gray Naren Ramakrishnan Niklas Elmqvist 52 23 0 06 Sep 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference Andac Demir T. Koike-Akino Ye Wang Deniz Erdogmus 30 0 0 02 Jul 2020
Learning Distributional Programs for Relational Autocompletion Nitesh Kumar Ondrej Kuzelka Luc de Raedt NAI 70 2 0 23 Jan 2020
A Survey on Document-level Neural Machine Translation: Methods and Evaluation Sameen Maruf Fahimeh Saleh Gholamreza Haffari AI4TS 91 23 0 18 Dec 2019
Better Document-Level Machine Translation with Bayes' Rule Lei Yu Laurent Sartran Wojciech Stokowiec Wang Ling Lingpeng Kong Phil Blunsom Chris Dyer 79 7 0 01 Oct 2019
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Sankar Banerjee Saurabh Jha Zbigniew T. Kalbarczyk Ravishankar Iyer 46 11 0 04 Sep 2019
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings Tom Everitt Pedro A. Ortega Elizabeth Barnes Shane Legg CML 54 0 0 26 Feb 2019
Kernel Density Estimation-Based Markov Models with Hidden State G. Henter A. Leijon W. Kleijn 21 1 0 30 Jul 2018
Probabilistic Warnings in National Security Crises: Pearl Harbor Revisited David M. Blum M. Paté-Cornell 33 5 0 13 Feb 2018
A Rational Distributed Process-level Account of Independence Judgment A. S. Nobandegani I. Psaromiligkos 23 1 0 30 Jan 2018
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes Feras A. Saad Vikash K. Mansinghka 60 14 0 05 Nov 2016
Generalized Permutohedra from Probabilistic Graphical Models F. Mohammadi Caroline Uhler Charles Wang Josephine Yu 139 22 0 06 Jun 2016
Efficient Value of Information Computation Ross D. Shachter 70 58 0 23 Jan 2013
Welldefined Decision Scenarios Thomas D. Nielsen F. V. Jensen 77 67 0 23 Jan 2013
Pivotal Pruning of Trade-offs in QPNs S. Renooij L. V. D. Gaag Simon Parsons S. Green TPM 58 14 0 16 Jan 2013
Evaluating Influence Diagrams using LIMIDs D. Nilsson Steffen Lauritzen 71 44 0 16 Jan 2013
Probabilistic Models for Agents' Beliefs and Decisions Brian Milch D. Koller 68 31 0 16 Jan 2013
Unconstrained Influence Diagrams F. V. Jensen M. Vomlelová 38 53 0 12 Dec 2012
Identifying the Relevant Nodes Without Learning the Model J. Peña R. Nilsson J. Björkegren Jesper N. Tegnér CML 150 7 0 27 Jun 2012
Evaluating influence diagrams with decision circuits D. Bhattacharjya Ross D. Shachter TPM 50 42 0 20 Jun 2012
Dynamic programming in in uence diagrams with decision circuits Ross D. Shachter D. Bhattacharjya TPM 55 17 0 15 Mar 2012
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective J. Textor Maciej Liskiewicz CML 85 70 0 14 Feb 2012