Aukosh Jagannath
Scholar

Aukosh Jagannath

Google Scholar ID: 1gpz5TAAAAAJ
Canada Research Chair in Mathematical Foundations of Data Science, University of Waterloo
ProbabilityMathematics of Data ScienceStatistical Physics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,409
 
H-index
22
 
i10-index
31
 
Publications
20
 
Co-authors
17
list available
Contact
CVOpen ↗
Publications
8 items
Universality of high-dimensional scaling limits of stochastic gradient descent
2025
Cited
0
High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
2025
Cited
0
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
2025
Cited
0
Local geometry of high-dimensional mixture models: Effective spectral theory and dynamical transitions
2025
Cited
0
Finding planted cliques using gradient descent
2023
Cited
4
Spectral alignment of stochastic gradient descent for high-dimensional classification tasks
2023
Cited
14
Optimality of Message-Passing Architectures for Sparse Graphs
Neural Information Processing Systems · 2023
Cited
10
Differentially private multivariate medians
2022
Cited
4
Resume (English only)
Co-authors
17 total
Reza Gheissari
Reza Gheissari
Northwestern University
Gerard BEN AROUS
Gerard BEN AROUS
Professor of Mathematics, NYU Shanghai and Courant Institute of Mathematical Sciences, New York
David Gamarnik
David Gamarnik
Professor of Operations Research, MIT
Kimon Fountoulakis
Kimon Fountoulakis
David R. Cheriton School of Computer Science, University of Waterloo
Co-author 5
Co-author 5
Co-author 6
Co-author 6
Alexander S. Wein
Alexander S. Wein
UC Davis
Co-author 8
Co-author 8