Rad, Kamiar Rahnama

1. A scalable estimate of the extra-sample prediction error via approximate leave-one-out
   2018/01/30 by Kamiar Rahnama Rad, Rad, Kamiar Rahnama, Arian Maleki +1 · 5 citations
   Decision Sciences · Engineering · Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
2. Consistent Risk Estimation in Moderately High-Dimensional Linear Regression
   2019/02/05 by Ji Xu, Xu, Ji, Arian Maleki +5 · 2 citations
   Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
3. Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery
   2009/10/02 by Kamiar Rahnama Rad, Rad, Kamiar Rahnama · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #cs.IT #math.IT
4. Approximate Leave-one-out Cross Validation for Regression with ℓ₁ Regularizers (extended version)
   2023/10/26 by Arnab Auddy, Haolin Zou, Auddy, Arnab +5 · 1 citation
   Mathematics · Engineering · #Statistical Methods and Inference #Fault Detection and Control Systems #Control Systems and Identification
5. Newfluence: Boosting Model interpretability and Understanding in High Dimensions
   2025/07/16 by Haolin Zou, Arnab Auddy, Zou, Haolin +7 · 2 citations
   Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reservoir Engineering and Simulation Methods
6. Certified Data Removal Under High-dimensional Settings
   2025/05/12 by Haolin Zou, Zou, Haolin, Arnab Auddy +7 · 3 citations
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science