Negar Kiyavash

Venues

Frequent coauthors

Papers

1. Recursive Causal Discovery (Abstract Reprint)
   AAAI 2026 ·

   Ehsan Mokhtarian

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2. Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
   UAI 2025 ·

   Yaroslav Kivva

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3. Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
   ICML 2025 ·

   Daniele Tramontano

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4. Efficiently Escaping Saddle Points for Policy Optimization
   UAI 2025 ·

   Mohammadsadegh Khorasani

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5. Hierarchical Reinforcement Learning with Targeted Causal Interventions
   ICML 2025 ·

   Mohammadsadegh Khorasani

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6. Multi-armed Bandits with Missing Outcomes
   UAI 2025 ·

   Ilia Mahrooghi

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7. Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
   NeurIPS 2025 ·

   Ehsan Sharifian

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8. Causal Effect Identification in LiNGAM Models with Latent Confounders
   ICML 2024 ·

   Daniele Tramontano

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9. Causal Effect Identification in a Sub-Population with Latent Variables
   NeurIPS 2024 ·

   Amir Mohammad Abouei

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10. CausalCite: A Causal Formulation of Paper Citations
    ACL 2024 ·

    Ishan Kumar

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11. Fast Proxy Experiment Design for Causal Effect Identification
    NeurIPS 2024 ·

    Sepehr Elahi

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12. Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
    AISTATS 2024 ·

    Yuqin Yang

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13. On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
    ICML 2024 ·

    Fateme Jamshidi

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14. QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
    NeurIPS 2024 ·

    Mohammad Shahverdikondori

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15. Triple Changes Estimator for Targeted Policies
    ICML 2024 ·

    Sina Akbari

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16. Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain
    UAI 2024 · Negar Kiyavash
17. s-ID: Causal Effect Identification in a Sub-population
    AAAI 2024 ·

    Amir Mohammad Abouei

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