Mohammad Ali Javidian

According to our database, Mohammad Ali Javidian authored at least 23 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Unicorn: reasoning about configurable system performance through the lens of causality.

Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

2021

A decomposition-based algorithm for learning the structure of multivariate regression chain graphs.

Mohammad Ali Javidian, Marco Valtorta

Int. J. Approx. Reason., 2021

Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach.

Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob

CoRR, 2021

Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach.

Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob

CoRR, 2021

Scalable Causal Transfer Learning.

Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi

CoRR, 2021

Quantum Entropic Causal Inference.

Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob

CoRR, 2021

An Order-Independent Algorithm for Learning Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Accelerating Recursive Partition-Based Causal Structure Learning.

Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

J. Artif. Intell. Res., 2020

CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.

Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

CoRR, 2020

Learning LWF Chain Graphs: an Order Independent Algorithm.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

CoRR, 2020

On a hypergraph probabilistic graphical model.

Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta

Ann. Math. Artif. Intell., 2020

Learning LWF Chain Graphs: A Markov Blanket Discovery Approach.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis.

Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta

CoRR, 2019

Order-Independent Structure Learning of Multivariate Regression Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Avoiding Social Disappointment in Elections.

Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Comment on: Decomposition of structural learning about directed acyclic graphs [1].

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

A Proof of the Front-Door Adjustment Formula.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

Structural Learning of Multivariate Regression Chain Graphs via Decomposition.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

The evolution of multivariate regression chain graphs.

Mohammad Ali Javidian, Marco Valtorta

CoRR, 2018

How can social planners prevent disappointment in an election?

Rasoul Ramezanian, Mohammad Ali Javidian

CoRR, 2018

Finding Minimal Separators in LWF Chain Graphs.

Mohammad Ali Javidian, Marco Valtorta

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2013

Disappointment in Social Choice Protocols

Mohammad Ali Javidian, Rasoul Ramezanian

CoRR, 2013