Ehsan Mokhtarian
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (14) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(12)
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(12)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(55)
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(12)
Knowledge & Reasoning
(9)
Machine Learning
(9)
Reasoning
(9)
Optimization & Theory
(7)
Learning Types
(6)
Mathematics & Optimization
(4)
Bayesian & Probabilistic
(3)
Mathematics
(2)
Optimization
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications Β· Natural Language Processing
(1)
Applications Β· Data Science & Analytics
(1)
Keywords
causal inference
(7)
causal graph
(6)
causal discovery
(4)
graphical model
(4)
causal effect identification
(3)
causal structure learning
(2)
structural equation model
(2)
structure learning
(2)
causal ordering
(2)
conditional independence test
(2)
bayesian network
(2)
structural causal model
(2)
latent variable
(2)
recursive algorithm
(1)
experiment design
(1)
conditional independence
(1)
bayesian information criterion
(1)
reinforcement learning
(1)
cycle detection
(1)
causal structure
(1)
Papers
Recursive Causal Discovery (Abstract Reprint)
AAAI 2026
Recursive Causal Discovery
JMLR 2025
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
NeurIPS 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Causal Effect Identification in Uncertain Causal Networks
NeurIPS 2023
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
AAAI 2023
Causal Effect Identification with Context-specific Independence Relations of Control Variables
AISTATS 2022
Learning Bayesian Networks in the Presence of Structural Side Information
AAAI 2022
Revisiting the general identifiability problem
UAI 2022
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
NeurIPS 2021