Picture for Bruno Loureiro

Bruno Loureiro

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

Add code
Oct 24, 2024
Viaarxiv icon

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds

Add code
Oct 21, 2024
Viaarxiv icon

A theoretical perspective on mode collapse in variational inference

Add code
Oct 17, 2024
Figure 1 for A theoretical perspective on mode collapse in variational inference
Figure 2 for A theoretical perspective on mode collapse in variational inference
Figure 3 for A theoretical perspective on mode collapse in variational inference
Figure 4 for A theoretical perspective on mode collapse in variational inference
Viaarxiv icon

Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs

Add code
Jun 04, 2024
Viaarxiv icon

Fundamental limits of weak learnability in high-dimensional multi-index models

Add code
May 24, 2024
Viaarxiv icon

Dimension-free deterministic equivalents for random feature regression

Add code
May 24, 2024
Viaarxiv icon

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression

Add code
Feb 21, 2024
Viaarxiv icon

Asymptotics of Learning with Deep Structured (Random) Features

Add code
Feb 21, 2024
Viaarxiv icon

A High Dimensional Model for Adversarial Training: Geometry and Trade-Offs

Add code
Feb 08, 2024
Viaarxiv icon

Asymptotics of feature learning in two-layer networks after one gradient-step

Add code
Feb 07, 2024
Viaarxiv icon