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Home/Authors/Negar Kiyavash

Negar Kiyavash

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

16

papers

97

total citations

papers (16)

Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias

NEURIPS 2021arXiv

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions

NEURIPS 2022arXiv

Causal Discovery in Linear Latent Variable Models Subject to Measurement Error

NEURIPS 2022arXiv

Causal Imitability Under Context-Specific Independence Relations

NEURIPS 2023arXiv

A Cross-Moment Approach for Causal Effect Estimation

NEURIPS 2023arXiv

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery

Causal Effect Identification in LiNGAM Models with Latent Confounders

Causal Effect Identification in Uncertain Causal Networks

NEURIPS 2023arXiv

s-ID: Causal Effect Identification in a Sub-population

Triple Changes Estimator for Targeted Policies

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models

Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems

Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality

Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models

NEURIPS 2025arXiv

A Catalyst Framework for Minimax Optimization

Hierarchical Reinforcement Learning with Targeted Causal Interventions