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Solving #SAT and Bayesian Inference with Backtracking Search

Solving #SAT and Bayesian Inference with Backtracking Search

Journal of Artificial Intelligence Research (JAIR), 2014
15 January 2014
F. Bacchus
Shannon Dalmao
T. Pitassi
    TPM
ArXiv (abs)PDFHTML

Papers citing "Solving #SAT and Bayesian Inference with Backtracking Search"

26 / 26 papers shown
Quantum Algorithms for Weighted Constrained Sampling and Weighted Model
  Counting
Quantum Algorithms for Weighted Constrained Sampling and Weighted Model Counting
Fabrizio Riguzzi
250
2
0
29 Jun 2024
Mixtures of All Trees
Mixtures of All TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Nikil Selvam
Honghua Zhang
Karen Ullrich
TPM
236
3
0
27 Feb 2023
Enhancing SMT-based Weighted Model Integration by Structure Awareness
Enhancing SMT-based Weighted Model Integration by Structure AwarenessArtificial Intelligence (AIJ), 2023
Giuseppe Spallitta
Gabriele Masina
Paolo Morettin
Baptiste Caramiaux
Roberto Sebastiani
TPM
300
14
0
13 Feb 2023
SMT-based Weighted Model Integration with Structure Awareness
SMT-based Weighted Model Integration with Structure AwarenessConference on Uncertainty in Artificial Intelligence (UAI), 2022
Giuseppe Spallitta
Gabriele Masina
Paolo Morettin
Baptiste Caramiaux
Roberto Sebastiani
TPM
200
11
0
28 Jun 2022
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
Handling Epistemic and Aleatory Uncertainties in Probabilistic CircuitsMachine-mediated learning (ML), 2021
Federico Cerutti
Lance M. Kaplan
Angelika Kimmig
Murat Sensoy
TPM
169
16
0
22 Feb 2021
DPMC: Weighted Model Counting by Dynamic Programming on Project-Join
  Trees
DPMC: Weighted Model Counting by Dynamic Programming on Project-Join Trees
Jeffrey M. Dudek
Vu Hoang Nguyen Phan
Moshe Y. Vardi
229
26
0
20 Aug 2020
Learning Branching Heuristics for Propositional Model Counting
Learning Branching Heuristics for Propositional Model Counting
Pashootan Vaezipoor
Gil Lederman
Yuhuai Wu
Chris J. Maddison
Roger C. Grosse
Sanjit A. Seshia
F. Bacchus
LRM
311
14
0
07 Jul 2020
On Constraint Definability in Tractable Probabilistic Models
On Constraint Definability in Tractable Probabilistic Models
I. Papantonis
Vaishak Belle
TPM
139
1
0
29 Jan 2020
Interventions and Counterfactuals in Tractable Probabilistic Models:
  Limitations of Contemporary Transformations
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
I. Papantonis
Vaishak Belle
TPM
176
8
0
29 Jan 2020
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
Behrouz Babaki
G. Farnadi
G. Pesant
TPM
191
1
0
23 Sep 2019
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams
Jeffrey M. Dudek
Vu Hoang Nguyen Phan
Moshe Y. Vardi
TPM
293
38
0
11 Jul 2019
Fairness in Machine Learning with Tractable Models
Fairness in Machine Learning with Tractable ModelsKnowledge-Based Systems (KBS), 2019
Michael Varley
Vaishak Belle
FaML
245
12
0
16 May 2019
Efficient Search-Based Weighted Model Integration
Efficient Search-Based Weighted Model Integration
Zhe Zeng
Karen Ullrich
TPM
310
26
0
13 Mar 2019
Learning Credal Sum-Product Networks
Learning Credal Sum-Product Networks
Amélie Levray
Vaishak Belle
TPM
313
0
0
17 Jan 2019
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid
  Domains by Leveraging Knowledge Compilation
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation
Anton Fuxjaeger
Vaishak Belle
TPM
194
1
0
29 Nov 2018
Learning Tractable Probabilistic Models for Moral Responsibility and
  Blame
Learning Tractable Probabilistic Models for Moral Responsibility and Blame
Lewis Hammond
Vaishak Belle
327
4
0
08 Oct 2018
Abstracting Probabilistic Models: A Logical Perspective
Abstracting Probabilistic Models: A Logical Perspective
Vaishak Belle
373
1
0
04 Oct 2018
Tractable Querying and Learning in Hybrid Domains via Sum-Product
  Networks
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks
Andreas Bueff
Stefanie Speichert
Vaishak Belle
TPM
271
15
0
14 Jul 2018
The Complexity of Bayesian Networks Specified by Propositional and
  Relational Languages
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
Fabio Gagliardi Cozman
Denis Deratani Mauá
TPM
345
11
0
04 Dec 2016
The Sum-Product Theorem: A Foundation for Learning Tractable Models
The Sum-Product Theorem: A Foundation for Learning Tractable Models
A. Friesen
Pedro M. Domingos
TPM
211
40
0
11 Nov 2016
Recursive Decomposition for Nonconvex Optimization
Recursive Decomposition for Nonconvex Optimization
A. Friesen
Pedro M. Domingos
167
27
0
08 Nov 2016
Semiring Programming: A Declarative Framework for Generalized Sum
  Product Problems
Semiring Programming: A Declarative Framework for Generalized Sum Product Problems
Vaishak Belle
Luc de Raedt
259
5
0
21 Sep 2016
Why is Compiling Lifted Inference into a Low-Level Language so
  Effective?
Why is Compiling Lifted Inference into a Low-Level Language so Effective?
Seyed Mehran Kazemi
David Poole
233
5
0
14 Jun 2016
Projected Model Counting
Projected Model CountingInternational Conference on Theory and Applications of Satisfiability Testing (SAT), 2015
R. Aziz
Geoffrey Chu
Christian Muise
Peter Stuckey
253
58
0
28 Jul 2015
First-Order Decomposition Trees
First-Order Decomposition TreesNeural Information Processing Systems (NeurIPS), 2013
N. Taghipour
Jesse Davis
Hendrik Blockeel
412
22
0
04 Jun 2013
Towards Completely Lifted Search-based Probabilistic Inference
Towards Completely Lifted Search-based Probabilistic Inference
David Poole
F. Bacchus
Jacek Kisynski
260
29
0
20 Jul 2011
1
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