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Mohammad Ali Javidian
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2020 – today
- 2022
- [c7]Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
:
Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys 2022: 199-217 - [i19]Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi:
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR abs/2201.08413 (2022) - 2021
- [j3]Mohammad Ali Javidian, Marco Valtorta:
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. Int. J. Approx. Reason. 136: 66-85 (2021) - [c6]Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid:
Accelerating Recursive Partition-Based Causal Structure Learning. AAMAS 2021: 1028-1036 - [c5]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
An Order-Independent Algorithm for Learning Chain Graphs. FLAIRS 2021 - [i18]Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid:
Accelerating Recursive Partition-Based Causal Structure Learning. CoRR abs/2102.11545 (2021) - [i17]Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob:
Quantum Entropic Causal Inference. CoRR abs/2102.11764 (2021) - [i16]Mohammad Ali Javidian, Om Pandey, Pooyan Jamshidi:
Scalable Causal Transfer Learning. CoRR abs/2103.00139 (2021) - [i15]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. CoRR abs/2104.13227 (2021) - [i14]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. CoRR abs/2111.01536 (2021) - 2020
- [j2]Mohammad Ali Javidian, Zhiyu Wang, Linyuan Lu
, Marco Valtorta
:
On a hypergraph probabilistic graphical model. Ann. Math. Artif. Intell. 88(9): 1003-1033 (2020) - [j1]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
:
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. J. Artif. Intell. Res. 69: 419-470 (2020) - [c4]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
:
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. UAI 2020: 1069-1078 - [i13]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms. CoRR abs/2002.10870 (2020) - [i12]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: an Order Independent Algorithm. CoRR abs/2005.14037 (2020) - [i11]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. CoRR abs/2006.00970 (2020) - [i10]Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
:
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR abs/2010.06061 (2020)
2010 – 2019
- 2019
- [c3]Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian:
Avoiding Social Disappointment in Elections. AAMAS 2019: 2039-2041 - [c2]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. SUM 2019: 324-338 - [i9]Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta:
Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis. CoRR abs/1902.10119 (2019) - [i8]Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Order-Independent Structure Learning of Multivariate Regression Chain Graphs. CoRR abs/1910.01067 (2019) - 2018
- [c1]Mohammad Ali Javidian, Marco Valtorta:
Finding Minimal Separators in LWF Chain Graphs. PGM 2018: 193-200 - [i7]Rasoul Ramezanian, Mohammad Ali Javidian:
How can social planners prevent disappointment in an election? CoRR abs/1801.05911 (2018) - [i6]Mohammad Ali Javidian, Marco Valtorta:
The evolution of multivariate regression chain graphs. CoRR abs/1803.04262 (2018) - [i5]Mohammad Ali Javidian, Marco Valtorta:
Structural Learning of Multivariate Regression Chain Graphs via Decomposition. CoRR abs/1806.00882 (2018) - [i4]Mohammad Ali Javidian, Marco Valtorta:
A Proof of the Front-Door Adjustment Formula. CoRR abs/1806.10449 (2018) - [i3]Mohammad Ali Javidian, Marco Valtorta:
Comment on: Decomposition of structural learning about directed acyclic graphs [1]. CoRR abs/1806.11103 (2018) - [i2]Mohammad Ali Javidian, Linyuan Lu, Marco Valtorta, Zhiyu Wang:
On a hypergraph probabilistic graphical model. CoRR abs/1811.08372 (2018) - 2013
- [i1]Mohammad Ali Javidian, Rasoul Ramezanian:
Disappointment in Social Choice Protocols. CoRR abs/1305.2386 (2013)
Coauthor Index
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