Kayvan Sadeghi
5 papers · 2017–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
causal structure learning
(2)
faithfulness assumption
(2)
constraint-based algorithm
(2)
graphical model
(2)
directed acyclic graph
(2)
conditional independence
(2)
causal inference
(2)
markov equivalence
(1)
independence model
(1)
mixed graph
(1)
sparsest permutation
(1)
growing network
(1)
node exchangeability
(1)
probabilistic modeling
(1)
probability distribution
(1)
determinantal point process
(1)
markov property
(1)
structural causal model
(1)
causal model
(1)
Papers
Causal Models for Growing Networks
UAI 2025
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
UAI 2024
Conditions and Assumptions for Constraint-based Causal Structure Learning
JMLR 2022
Markov Properties of Discrete Determinantal Point Processes
AISTATS 2019
Faithfulness of Probability Distributions and Graphs
JMLR 2017