← Authors

Rina Dechter

23 papers · 2010–2025 · 5 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (30) πŸƒ Academic Marathon (15) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (10) πŸ”¬ Deep Specialist (11) πŸ—ƒοΈ Keyword Collector (60) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

IJCAI (8) UAI (5) AAAI (4) AISTATS (4) NIPS (2)

Top co-authors

Alexander Ihler (10) Radu Marinescu (9) Bobak Pezeshki (5) Kalev Kask (4) Junkyu Lee (3) Alex Ihler (2) Vibhav Gogate (2) Emma Rollon (2) Vincent Hsiao (2) Javier Larrosa (2)

Keywords

graphical model (12) probabilistic inference (6) bayesian network (4) partition function (4) marginal map (4) bucket elimination (3) maximum expected utility (3) approximate inference (3) influence diagram (3) and/or search (2) message passing (2) importance sampling (2) variational inference (2) combinatorial optimization (2) upper bound (2) anytime algorithm (2) best-first search (2) monte carlo method (2) branch and bound (2) computational protein design (2)

Papers

Graph-based Complexity for Causal Effect by Empirical Plug-in AISTATS 2025
Value-Based Abstraction Functions for Abstraction Sampling UAI 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 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
Submodel Decomposition Bounds for Influence Diagrams AAAI 2021
A New Bounding Scheme for Influence Diagrams AAAI 2021
Deep Bucket Elimination IJCAI 2021
Scaling Up AND/OR Abstraction Sampling IJCAI 2020
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Counting the Optimal Solutions in Graphical Models NIPS 2019
Stochastic Anytime Search for Bounding Marginal MAP IJCAI 2018
Dynamic Importance Sampling for Anytime Bounds of the Partition Function NIPS 2017
Probabilistic Inference Modulo Theories IJCAI 2016
Limited Discrepancy AND/OR Search and Its Application to Optimization Tasks in Graphical Models IJCAI 2016
Pushing Forward Marginal MAP with Best-First Search IJCAI 2015
Semiring-Based Mini-Bucket Partitioning Schemes IJCAI 2013
Predicting the Size of Depth-First Branch and Bound Search Trees IJCAI 2013
On Combining Graph-based Variance Reduction schemes AISTATS 2010