Tahrima Rahman
13 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (19) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π Keyword Champion (4)
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(57)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Artificial Intelligence
(9)
Bayesian & Probabilistic Β· Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Machine Learning
(6)
Deep Learning
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Optimization
(2)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Models
(1)
Keywords
probabilistic graphical model
(5)
most probable explanation
(4)
cutset network
(4)
self-supervised learning
(4)
neural network
(3)
bayesian network
(3)
tractable probabilistic model
(3)
graphical model
(3)
probabilistic modeling
(2)
probabilistic inference
(2)
sum-product network
(2)
markov network
(2)
probabilistic circuit
(2)
tractable inference
(2)
variational inference
(2)
probabilistic model
(2)
approximation algorithm
(2)
constrained optimization
(2)
knapsack problem
(2)
posterior inference
(1)
Papers
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
AISTATS 2025
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
NeurIPS 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
AISTATS 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
AAAI 2024
Conditionally Tractable Density Estimation using Neural Networks
AISTATS 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
NeurIPS 2022
Robust learning of tractable probabilistic models
UAI 2022
Dynamic Cutset Networks
AISTATS 2021
Novel Upper Bounds for the Constrained Most Probable Explanation Task
NeurIPS 2021
A Novel Approach for Constrained Optimization in Graphical Models
NeurIPS 2020
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models
IJCAI 2019
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation
ICML 2019
Algorithms for the Nearest Assignment Problem
IJCAI 2018