Mohammad Ali Javidian

34 papers A* 1A 4Misc 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Expectation-Maximization Algorithm for Domain Adaptation in Gaussian Causal Models. CoRR Mohammad Ali Javidian
2026	J	`jnl`	Causally-Aware Information Bottleneck for Domain Adaptation. CoRR Mohammad Ali Javidian
2026	J	`jnl`	Extending Multi-Source Bayesian Optimization With Causality Principles. CoRR Luuk Jacobs, Mohammad Ali Javidian
2026	J	`jnl`	Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors. CoRR Md. Abir Hossen, Mohammad Ali Javidian, Vignesh Narayanan, Jason M. O'Kane, Pooyan Jamshidi
2025	A*	`conf`	EM-Based Transfer Learning for Gaussian Causal Models Under Covariate and Target Shift. ICDM Mohammad Ali Javidian
2022	J	`jnl`	Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2022	A	`conf`	Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2021	J	`jnl`	A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. Int. J. Approx. Reason. Mohammad Ali Javidian, Marco Valtorta
2021	A	`conf`	Accelerating Recursive Partition-Based Causal Structure Learning. AAMAS Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid
2021	J	`jnl`	Accelerating Recursive Partition-Based Causal Structure Learning. CoRR Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid
2021	Misc	`conf`	An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2021	J	`jnl`	Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
2021	J	`jnl`	Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
2021	J	`jnl`	Quantum Entropic Causal Inference. CoRR Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob
2021	J	`jnl`	Scalable Causal Transfer Learning. CoRR Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi
2020	J	`jnl`	AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2020	A	`conf`	Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2020	J	`jnl`	On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu, Marco Valtorta
2019	A	`conf`	Avoiding Social Disappointment in Elections. AAMAS Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian
2019	—	`conf`	Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2019	J	`jnl`	Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
2019	J	`jnl`	Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta
2018	J	`jnl`	A Proof of the Front-Door Adjustment Formula. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	Comment on: Decomposition of structural learning about directed acyclic graphs [1]. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	—	`conf`	Finding Minimal Separators in LWF Chain Graphs. PGM Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	How can social planners prevent disappointment in an election? CoRR Rasoul Ramezanian, Mohammad Ali Javidian
2018	J	`jnl`	On a hypergraph probabilistic graphical model. CoRR Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang
2018	J	`jnl`	Structural Learning of Multivariate Regression Chain Graphs via Decomposition. CoRR Mohammad Ali Javidian, Marco Valtorta
2018	J	`jnl`	The evolution of multivariate regression chain graphs. CoRR Mohammad Ali Javidian, Marco Valtorta
2013	J	`jnl`	Disappointment in Social Choice Protocols CoRR Mohammad Ali Javidian, Rasoul Ramezanian