Luca Pesce
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
❓
The Questioner
Venues
Top co-authors
Research topics
Keywords
generalization error
(3)
gradient descent
(3)
batch size
(2)
high-dimensional statistics
(2)
feature learning
(2)
information exponent
(2)
nonlinear function
(1)
high-dimensional clustering
(1)
state evolution
(1)
random matrix theory
(1)
phase transition
(1)
generalized linear model
(1)
single-index model
(1)
two-layer network
(1)
lazy regime
(1)
high-dimensional limit
(1)
two-layer neural network
(1)
error analysis
(1)
gaussian universality
(1)
neural network
(1)
Papers
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
AISTATS 2025
Asymptotics of feature learning in two-layer networks after one gradient-step
ICML 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
JMLR 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
ICML 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
ICML 2024
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
NeurIPS 2022