Adnan Darwiche
33 papers · 2009–2026 · 8 venues · across top CS/AI venues
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Achievements
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(14)
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(19)
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(2)
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Conference Pioneer
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Keyword Collector
(133)
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Top co-authors
Research topics
Machine Learning
(26)
Artificial Intelligence
(24)
Optimization & Theory
(20)
Bayesian & Probabilistic Β· Artificial Intelligence
(18)
Bayesian & Probabilistic Β· Machine Learning
(15)
Core AI
(14)
Core Methods
(13)
Knowledge & Reasoning
(10)
Reasoning
(7)
Learning Types
(5)
Mathematics & Optimization
(4)
Mathematics
(3)
Representation
(3)
Deep Learning
(2)
Architectures
(2)
Keywords
bayesian network
(10)
graphical model
(9)
probabilistic graphical model
(8)
probabilistic modeling
(5)
arithmetic circuit
(5)
probabilistic model
(4)
explainable ai
(4)
sentential decision diagram
(3)
probabilistic sentential decision diagram
(3)
structure learning
(3)
inference algorithm
(2)
causal effect
(2)
bayesian inference
(2)
supervised learning
(2)
parameter estimation
(2)
parameter learning
(2)
exact inference
(2)
causal inference
(2)
tractable inference
(2)
approximate inference
(2)
Papers
On the Granularity of Causal Effect Identifiability
UAI 2026
Identifying Causal Effects Under Functional Dependencies
NeurIPS 2024
An Algorithm and Complexity Results for Causal Unit Selection
CLeaR 2023
On the Complexity of Counterfactual Reasoning
IJCAI 2023
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)
IJCAI 2022
On the Computation of Necessary and Sufficient Explanations
AAAI 2022
On the definition and computation of causal treewidth
UAI 2022
On Recovering from Modeling Errors Using Testing Bayesian Networks
ICML 2021
A New Perspective on Learning Context-Specific Independence
PGM 2020
Supervised Learning with Background Knowledge
PGM 2020
Compiling Bayesian Network Classifiers into Decision Graphs
AAAI 2019
Conditional Independence in Testing Bayesian Networks
ICML 2019
Structured Bayesian Networks: From Inference to Learning with Routes
AAAI 2019
A Symbolic Approach to Explaining Bayesian Network Classifiers
IJCAI 2018
Formal Verification of Bayesian Network Classifiers
PGM 2018
On the Relative Expressiveness of Bayesian and Neural Networks
PGM 2018
On Relaxing Determinism in Arithmetic Circuits
ICML 2017
Open-World Probabilistic Databases: An Abridged Report
IJCAI 2017
Optimal Feature Selection for Decision Robustness in Bayesian Networks
IJCAI 2017
Tractability in Structured Probability Spaces
NeurIPS 2017
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs
AISTATS 2016
Learning Bayesian networks with ancestral constraints
NeurIPS 2016
On Pruning with the MDL Score
PGM 2016
Tractable Operations for Arithmetic Circuits of Probabilistic Models
NeurIPS 2016
A Top-Down Compiler for Sentential Decision Diagrams
IJCAI 2015
Data Compression for Learning MRF Parameters
IJCAI 2015
Tractable Learning for Complex Probability Queries
NeurIPS 2015
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions
IJCAI 2015
Decomposing Parameter Estimation Problems
NeurIPS 2014
An Exact Algorithm for Computing the Same-Decision Probability
IJCAI 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models
NeurIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference
NeurIPS 2013
Approximating MAP by Compensating for Structural Relaxations
NeurIPS 2009