Rina Dechter
25 papers · 1999–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Dynamic Duo
(11)
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Keyword Champion
(3)
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Trend Setter
π
Conference Pioneer
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Unstoppable Β· Silver
ποΈ
Keyword Collector
(67)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(15)
Machine Learning
(14)
Bayesian & Probabilistic Β· Artificial Intelligence
(11)
Optimization & Theory
(10)
Mathematics & Optimization
(9)
Bayesian & Probabilistic Β· Machine Learning
(8)
Core AI
(8)
Optimization
(7)
Core Methods
(4)
Knowledge & Reasoning
(2)
Learning Types
(2)
Mathematics
(2)
Reasoning
(2)
Computer Science
(1)
Application Areas
(1)
Keywords
graphical model
(13)
probabilistic inference
(6)
partition function
(4)
marginal map
(4)
bayesian network
(4)
importance sampling
(3)
approximate inference
(3)
influence diagram
(3)
bucket elimination
(3)
monte carlo method
(3)
maximum expected utility
(3)
message passing
(2)
and/or search
(2)
branch and bound
(2)
best-first search
(2)
combinatorial optimization
(2)
anytime algorithm
(2)
variational inference
(2)
upper bound
(2)
abstraction sampling
(2)
Papers
Variance Estimation and Selecting Good Estimands for Causal Effect Queries
UAI 2026
Graph-based Complexity for Causal Effect by Empirical Plug-in
AISTATS 2025
Surrogate Bayesian Networks for Approximating Evolutionary Games
AISTATS 2024
Value-Based Abstraction Functions for Abstraction Sampling
UAI 2024
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO
UAI 2023
AND/OR branch-and-bound for computational protein design optimizing K*
UAI 2022
Fast Fourier Transform Reductions for Bayesian Network Inference
AISTATS 2022
NeuroBE: Escalating neural network approximations of Bucket Elimination
UAI 2022
A New Bounding Scheme for Influence Diagrams
AAAI 2021
Deep Bucket Elimination
IJCAI 2021
Submodel Decomposition Bounds for Influence Diagrams
AAAI 2021
Scaling Up AND/OR Abstraction Sampling
IJCAI 2020
Anytime Recursive Best-First Search for Bounding Marginal MAP
AAAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram
UAI 2019
Counting the Optimal Solutions in Graphical Models
NeurIPS 2019
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms
AAAI 2019
Stochastic Anytime Search for Bounding Marginal MAP
IJCAI 2018
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
NeurIPS 2017
Limited Discrepancy AND/OR Search and Its Application to Optimization Tasks in Graphical Models
IJCAI 2016
Probabilistic Inference Modulo Theories
IJCAI 2016
Pushing Forward Marginal MAP with Best-First Search
IJCAI 2015
Predicting the Size of Depth-First Branch and Bound Search Trees
IJCAI 2013
Semiring-Based Mini-Bucket Partitioning Schemes
IJCAI 2013
On Combining Graph-based Variance Reduction schemes
AISTATS 2010
SampleSearch: A Scheme that Searches for Consistent Samples
AISTATS 1999