Sina Akbari - RankMe

33 papers A* 8A 2B 1C 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Heuristic Methods for Top-k List Aggregation Under the Generalized Kendall Tau Distance. EvoCOP Sina Akbari, Abeer Abdelhadi, Adolfo R. Escobedo
2026	A*	`conf`	Recursive Causal Discovery (Abstract Reprint). AAAI Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2025	A	`conf`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. UAI Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. CoRR Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	A	`conf`	Multi-armed Bandits with Missing Outcomes. UAI Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash
2025	J	`jnl`	Optimal Experiment Design for Causal Effect Identification. J. Mach. Learn. Res. Sina Akbari, Jalal Etesami, Negar Kiyavash
2025	J	`jnl`	Recursive Causal Discovery. J. Mach. Learn. Res. Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2025	—	`conf`	Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. CLeaR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2025	J	`jnl`	Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding. CoRR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2024	J	`jnl`	CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions. CoRR Matthew J. Vowels, Mathieu Rochat, Sina Akbari
2024	A*	`conf`	Fast Proxy Experiment Design for Causal Effect Identification. NeurIPS Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
2024	J	`jnl`	Fast Proxy Experiment Design for Causal Effect Identification. CoRR Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
2024	J	`jnl`	Multi-armed Bandits with Missing Outcome. CoRR Ilia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash
2024	J	`jnl`	Recursive Causal Discovery. CoRR Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2024	A*	`conf`	Triple Changes Estimator for Targeted Policies. ICML Sina Akbari, Negar Kiyavash
2023	J	`jnl`	A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation. Trans. Mach. Learn. Res. Matthew James Vowels, Sina Akbari, Necati Cihan Camgöz, Richard Bowden
2023	J	`jnl`	Approximate Condorcet Partitioning: Solving large-scale rank aggregation problems. Comput. Oper. Res. Sina Akbari, Adolfo R. Escobedo
2023	A*	`conf`	Causal Effect Identification in Uncertain Causal Networks. NeurIPS Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2023	A*	`conf`	Causal Imitability Under Context-Specific Independence Relations. NeurIPS Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2023	J	`jnl`	Causal Imitability Under Context-Specific Independence Relations. CoRR Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2023	J	`jnl`	Learning Causal Graphs via Monotone Triangular Transport Maps. CoRR Sina Akbari, Luca Ganassali, Negar Kiyavash
2022	J	`jnl`	A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. CoRR Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden
2022	J	`jnl`	Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2022	A*	`conf`	Learning Bayesian Networks in the Presence of Structural Side Information. AAAI Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2022	A*	`conf`	Minimum Cost Intervention Design for Causal Effect Identification. ICML Sina Akbari, Jalal Etesami, Negar Kiyavash
2022	J	`jnl`	Minimum Cost Intervention Design for Causal Effect Identification. CoRR Sina Akbari, Jalal Etesami, Negar Kiyavash
2022	C	`conf`	Top-k List Aggregation: Mathematical Formulations and Polyhedral Comparisons. ISCO Sina Akbari, Adolfo R. Escobedo
2021	—	`conf`	A Recursive Markov Boundary-Based Approach to Causal Structure Learning. CD@KDD Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Learning Bayesian Networks in the Presence of Structural Side Information. CoRR Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
2021	—	`conf`	Lower Bounds on Kemeny Rank Aggregation with Non-Strict Rankings. SSCI Sina Akbari, Adolfo R. Escobedo
2021	A*	`conf`	Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. NeurIPS Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
2021	J	`jnl`	Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias. CoRR Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash
2020	J	`jnl`	A Recursive Markov Blanket-Based Approach to Causal Structure Learning. CoRR Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash