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Negar Kiyavash
17 papers at tracked venues · 12 at CORE A* · active 2024–2026
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Venues
ICML
×5
NeurIPS
×4
UAI
×4
AAAI
×2
ACL
×1
AISTATS
×1
Frequent coauthors
Saber Salehkaleybar
×7
Ehsan Mokhtarian
×5
Sina Akbari
×5
Yaroslav Kivva
×3
Matthias Grossglauser
×3
Sepehr Elahi
×2
Daniele Tramontano
×2
Mathias Drton
×2
Mohammadsadegh Khorasani
×2
Amir Mohammad Abouei
×2
Niao He
×1
Ilia Mahrooghi
×1
Papers
Recursive Causal Discovery (Abstract Reprint)
BibTeX ⧉
AAAI 2026
·
Ehsan Mokhtarian
,
Sepehr Elahi
,
Sina Akbari
,
Negar Kiyavash
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
BibTeX ⧉
UAI 2025
·
Yaroslav Kivva
,
Sina Akbari
,
Saber Salehkaleybar
,
Negar Kiyavash
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
BibTeX ⧉
ICML 2025
·
Daniele Tramontano
,
Yaroslav Kivva
,
Saber Salehkaleybar
,
Negar Kiyavash
,
Mathias Drton
Efficiently Escaping Saddle Points for Policy Optimization
BibTeX ⧉
UAI 2025
·
Mohammadsadegh Khorasani
,
Saber Salehkaleybar
,
Negar Kiyavash
,
Niao He
,
Matthias Grossglauser
Hierarchical Reinforcement Learning with Targeted Causal Interventions
BibTeX ⧉
ICML 2025
·
Mohammadsadegh Khorasani
,
Saber Salehkaleybar
,
Negar Kiyavash
,
Matthias Grossglauser
Multi-armed Bandits with Missing Outcomes
BibTeX ⧉
UAI 2025
·
Ilia Mahrooghi
,
Mahshad Moradi
,
Sina Akbari
,
Negar Kiyavash
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
BibTeX ⧉
NeurIPS 2025
·
Ehsan Sharifian
,
Saber Salehkaleybar
,
Negar Kiyavash
Causal Effect Identification in LiNGAM Models with Latent Confounders
BibTeX ⧉
ICML 2024
·
Daniele Tramontano
,
Yaroslav Kivva
,
Saber Salehkaleybar
,
Mathias Drton
,
Negar Kiyavash
Causal Effect Identification in a Sub-Population with Latent Variables
BibTeX ⧉
NeurIPS 2024
·
Amir Mohammad Abouei
,
Ehsan Mokhtarian
,
Negar Kiyavash
,
Matthias Grossglauser
CausalCite: A Causal Formulation of Paper Citations
BibTeX ⧉
ACL 2024
·
Ishan Kumar
,
Zhijing Jin
,
Ehsan Mokhtarian
,
Siyuan Guo
,
Yuen Chen
,
Negar Kiyavash
,
Mrinmaya Sachan
,
Bernhard Schölkopf
Fast Proxy Experiment Design for Causal Effect Identification
BibTeX ⧉
NeurIPS 2024
·
Sepehr Elahi
,
Sina Akbari
,
Jalal Etesami
,
Negar Kiyavash
,
Patrick Thiran
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
BibTeX ⧉
AISTATS 2024
·
Yuqin Yang
,
Saber Salehkaleybar
,
Negar Kiyavash
On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
BibTeX ⧉
ICML 2024
·
Fateme Jamshidi
,
Luca Ganassali
,
Negar Kiyavash
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
BibTeX ⧉
NeurIPS 2024
·
Mohammad Shahverdikondori
,
Ehsan Mokhtarian
,
Negar Kiyavash
Triple Changes Estimator for Targeted Policies
BibTeX ⧉
ICML 2024
·
Sina Akbari
,
Negar Kiyavash
Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain
BibTeX ⧉
UAI 2024
·
Negar Kiyavash
,
Joris M. Mooij
s-ID: Causal Effect Identification in a Sub-population
BibTeX ⧉
AAAI 2024
·
Amir Mohammad Abouei
,
Ehsan Mokhtarian
,
Negar Kiyavash