Amir Asiaee

According to our database, Amir Asiaee authored at least 13 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment.

Amir Asiaee, Samhita Pal

CoRR, March, 2026

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions.

Amir Asiaee, Kavey Aryan, James P. Long

CoRR, March, 2026

CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data.

Amir Asiaee, Zhuohui J. Liang, Chao Yan

CoRR, March, 2026

Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families.

Amir Asiaee, Samhita Pal

CoRR, March, 2026

Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification.

Amir Asiaee

CoRR, February, 2026

Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence.

Amir Asiaee, Chao Yan, Zachary B. Abrams, Bradley A. Malin

CoRR, February, 2026

PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction.

Amir Asiaee, Chao Yan, Zachary B. Abrams, Bradley A. Malin

CoRR, February, 2026

Projected Boosting with Fairness Constraints: Quantifying the Cost of Fair Training Distributions.

Amir Asiaee, Kaveh Aryan

CoRR, February, 2026

Fix Representation (Optimally) Before Fairness: Finite-Sample Shrinkage Population Correction and the True Price of Fairness Under Subpopulation Shift.

Amir Asiaee, Kaveh Aryan

CoRR, February, 2026

Fairness Under Group-Conditional Prior Probability Shift: Invariance, Drift, and Target-Aware Post-Processing.

Amir Asiaee, Kaveh Aryan

CoRR, February, 2026

2025

Causal Discovery with Mixed Latent Confounding via Precision Decomposition.

Amir Asiaee, Samhita Pal, James O'Quinn, James P. Long

CoRR, December, 2025

DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding.

Samhita Pal, James O'Quinn, Kaveh Aryan, Heather Pua, James P. Long, Amir Asiaee

CoRR, October, 2025

AUPRC: a metric for evaluating the performance of <i>in-silico</i> perturbation methods in identifying differentially expressed genes.

Hongxu Zhu, Amir Asiaee, Leila Azinfar, Jun Li, Han Liang, Ehsan Irajizad, Kim-Anh Do, James P. Long

Briefings Bioinform., September, 2025