Sina Akbari

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Causal Discovery

Causal Networks

Independence Relations

Top Venues

Comput. Oper. Res.

Publications

Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
Fast Proxy Experiment Design for Causal Effect Identification. CoRR (2024)
Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
Recursive Causal Discovery. CoRR (2024)
Matthew James Vowels, Sina Akbari, Necati Cihan Camgöz, Richard Bowden
A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation. Trans. Mach. Learn. Res. 2023 (2023)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Effect Identification in Uncertain Causal Networks. NeurIPS (2023)
Sina Akbari, Luca Ganassali, Negar Kiyavash
Learning Causal Graphs via Monotone Triangular Transport Maps. CoRR (2023)
Fateme Jamshidi, Sina Akbari, Negar Kiyavash
Causal Imitability Under Context-Specific Independence Relations. NeurIPS (2023)
Fateme Jamshidi, Sina Akbari, Negar Kiyavash
Causal Imitability Under Context-Specific Independence Relations. CoRR (2023)
Sina Akbari, Adolfo R. Escobedo
Approximate Condorcet Partitioning: Solving large-scale rank aggregation problems. Comput. Oper. Res. 153 (2023)
Sina Akbari, Jalal Etesami, Negar Kiyavash
Minimum Cost Intervention Design for Causal Effect Identification. ICML (2022)
Sina Akbari, Adolfo R. Escobedo
Top-k List Aggregation: Mathematical Formulations and Polyhedral Comparisons. ISCO (2022)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. AAAI (2022)
Sina Akbari, Jalal Etesami, Negar Kiyavash
Minimum Cost Intervention Design for Causal Effect Identification. CoRR (2022)
Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. CoRR (2022)
Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Learning Bayesian Networks in the Presence of Structural Side Information. CoRR (2021)
Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. NeurIPS (2021)
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
A Recursive Markov Boundary-Based Approach to Causal Structure Learning. CD@KDD (2021)
Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. CoRR (2021)
Sina Akbari, Adolfo R. Escobedo
Lower Bounds on Kemeny Rank Aggregation with Non-Strict Rankings. SSCI (2021)
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
A Recursive Markov Blanket-Based Approach to Causal Structure Learning. CoRR (2020)