Kayvan Sadeghi

According to our database, Kayvan Sadeghi authored at least 10 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Causal Models for Growing Networks.

Gecia Bravo Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

A General Framework for Constraint-based Causal Learning.

Kai Z. Teh, Kayvan Sadeghi, Terry Soo

CoRR, 2024

Localised Natural Causal Learning Algorithms for Weak Consistency Conditions.

Kai Z. Teh, Kayvan Sadeghi, Terry Soo

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2022

Conditions and Assumptions for Constraint-based Causal Structure Learning.

Kayvan Sadeghi, Terry Soo

J. Mach. Learn. Res., 2022

2019

Markov Properties of Discrete Determinantal Point Processes.

Kayvan Sadeghi, Alessandro Rinaldo

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Faithfulness of Probability Distributions and Graphs.

Kayvan Sadeghi

J. Mach. Learn. Res., 2017

On the Number of Non-Zero Elements of Joint Degree Vectors.

Éva Czabarka, Johannes Rauh, Kayvan Sadeghi, Taylor Short, László A. Székely

Electron. J. Comb., 2017

2014

β models for random hypergraphs with a given degree sequence.

Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo, Sonja Petrovic, Stephen E. Fienberg

CoRR, 2014

2012

Graphical representation of independence structures.

Kayvan Sadeghi

PhD thesis, 2012

Graphical Markov Models with Mixed Graphs in R.

Kayvan Sadeghi, Giovanni M. Marchetti

R J., 2012