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Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
v1v2 (latest)

Solving Marginal MAP Exactly by Probabilistic Circuit Transformations

8 November 2021
YooJung Choi
Tal Friedman
Karen Ullrich
    TPM
ArXiv (abs)PDFHTMLGithub

Papers citing "Solving Marginal MAP Exactly by Probabilistic Circuit Transformations"

9 / 9 papers shown
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland
YooJung Choi
TPM
416
1
0
02 Jun 2025
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
Jinzhao Li
Nan Jiang
Yexiang Xue
319
0
0
02 Mar 2025
Causal Unit Selection using Tractable Arithmetic Circuits
Causal Unit Selection using Tractable Arithmetic CircuitsThe Florida AI Research Society (FLAIRS), 2024
Haiying Huang
Adnan Darwiche
252
3
0
10 Apr 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Neural Network Approximators for Marginal MAP in Probabilistic CircuitsAAAI Conference on Artificial Intelligence (AAAI), 2024
Shivvrat Arya
Tahrima Rahman
Vibhav Gogate
TPM
207
3
0
06 Feb 2024
Building Expressive and Tractable Probabilistic Generative Models: A
  Review
Building Expressive and Tractable Probabilistic Generative Models: A Review
Sahil Sidheekh
S. Natarajan
TPM
443
10
0
01 Feb 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI
  Integration With Provable Guarantees
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable GuaranteesAAAI Conference on Artificial Intelligence (AAAI), 2023
Jinzhao Li
Nan Jiang
Yexiang Xue
292
1
0
16 Sep 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit
  Models
Compositional Probabilistic and Causal Inference using Tractable Circuit ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Benjie Wang
Marta Kwiatkowska
TPM
222
12
0
17 Apr 2023
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Semantic Probabilistic Layers for Neuro-Symbolic LearningNeural Information Processing Systems (NeurIPS), 2022
Kareem Ahmed
Stefano Teso
Kai-Wei Chang
Karen Ullrich
Antonio Vergari
TPM
293
111
0
01 Jun 2022
Efficient and Reliable Probabilistic Interactive Learning with
  Structured Outputs
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs
Stefano Teso
Antonio Vergari
TPM
215
2
0
17 Feb 2022
1
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