Ehsan Mokhtarian
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5)
π
Academic Marathon
(5)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(16)
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Deep Specialist
(12)
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Dynamic Duo
(11)
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Century Club
(12)
ποΈ
Keyword Collector
(55)
π₯
Unstoppable
(5)
Conferences
AAAI (4)
NIPS (4)
JMLR (2)
ACL (1)
AISTATS (1)
UAI (1)
Top co-authors
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
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
NIPS 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NIPS 2024
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Causal Effect Identification in Uncertain Causal Networks
NIPS 2023
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
AAAI 2023
Learning Bayesian Networks in the Presence of Structural Side Information
AAAI 2022
Revisiting the general identifiability problem
UAI 2022
Causal Effect Identification with Context-specific Independence Relations of Control Variables
AISTATS 2022
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
NIPS 2021