Marco Mondelli
Scholar

Marco Mondelli

Google Scholar ID: BHdSb5AAAAAJ
Professor, IST Austria
Machine LearningData ScienceCoding TheoryInformation theory
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,881
 
H-index
25
 
i10-index
41
 
Publications
20
 
Co-authors
67
list available
Contact
CVOpen ↗LinkedInOpen ↗
Publications
19 items
Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
2026
Cited
0
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
2026
Cited
0
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
2026
Cited
0
Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
2026
Cited
0
Optimal Regularization for Performative Learning
2025
Cited
0
High-dimensional Analysis of Synthetic Data Selection
2025
Cited
0
A Law of Data Reconstruction for Random Features (and Beyond)
2025
Cited
0
Better Rates for Private Linear Regression in the Proportional Regime via Aggressive Clipping
2025
Cited
0
Resume (English only)
Co-authors
67 total
Hamed Hassani
Hamed Hassani
University of Pennsylvania (EE, CS, Stat) & Google Research
Ruediger Urbanke
Ruediger Urbanke
EPFL
Co-author 3
Co-author 3
Warren Gross
Warren Gross
Professor of Electrical and Computer Engineering, McGill University
Andrea Montanari
Andrea Montanari
John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University
Simone Bombari
Simone Bombari
PhD Student, ISTA
Ramji Venkataramanan
Ramji Venkataramanan
University of Cambridge
Henry Pfister
Henry Pfister
Professor of Electrical and Computer Engineering, Duke University