Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1301.7412
Cited By
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)
30 January 2013
Ross D. Shachter
Re-assign community
ArXiv (abs)
PDF
HTML
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
1