Antoine Maillard
5 papers · 2018–2025 · 2 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
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
approximate message passing
(3)
message passing
(2)
compressed sensing
(1)
principal component analysis
(1)
bayesian inference
(1)
high-dimensional statistics
(1)
gradient descent
(1)
generalization error
(1)
high-dimensional analysis
(1)
phase retrieval
(1)
matrix denoising
(1)
random matrix theory
(1)
phase transition
(1)
spectral algorithm
(1)
spectral method
(1)
generative prior
(1)
test error
(1)
bayes-optimal test error
(1)
quadratic activation
(1)
random matrix
(1)
Papers
Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications
COLT 2025
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
NeurIPS 2024
Phase retrieval in high dimensions: Statistical and computational phase transitions
NeurIPS 2020
The spiked matrix model with generative priors
NeurIPS 2019
The committee machine: Computational to statistical gaps in learning a two-layers neural network
NeurIPS 2018