Daniel Barzilai

1. Generalization in Kernel Regression Under Realistic Assumptions
   2023/12/26 by Daniel Barzilai, Barzilai, Daniel, Ohad Shamir +1 · 5 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
2. Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
   2023/07/26 by Amnon Geifman, Geifman, Amnon, Daniel Barzilai +5 · 3 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications
3. Beyond Benign Overfitting in Nadaraya-Watson Interpolators
   2025/02/11 by Daniel Barzilai, Barzilai, Daniel, Guy Kornowski +3 · 1 citation
   Computer Science · Engineering · #Advanced Control Systems Design #Digital Filter Design and Implementation #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Simple Relative Deviation Bounds for Covariance and Gram Matrices
   2024/10/08 by Daniel Barzilai, Ohad Shamir, Barzilai, Daniel +1 · 1 citation
   Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Neural Networks and Applications #Probability (math.PR) #Statistics Theory (math.ST)