Hugo Cui
11 papers · 2021–2025 · 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 ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 👑 Triple Crown
🗃️
Keyword Collector
(52)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory · Machine Learning
(9)
Deep Learning
(7)
Core Methods
(6)
Architectures
(5)
Mathematics & Optimization
(2)
Mathematics
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
generalization error
(4)
gaussian mixture
(2)
random feature model
(2)
kernel regression
(2)
ridge regression
(2)
deep neural network
(2)
test error
(2)
high-dimensional limit
(2)
gradient descent
(1)
nonlinear function
(1)
theoretical analysis
(1)
bayes optimal
(1)
mean squared error
(1)
random matrix theory
(1)
attention mechanism
(1)
low-rank matrices
(1)
implicit regularization
(1)
kernel ridge regression
(1)
sample complexity
(1)
feature map
(1)
Papers
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
AISTATS 2025
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
ICML 2025
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
ICLR 2024
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention
NeurIPS 2024
Asymptotics of feature learning in two-layer networks after one gradient-step
ICML 2024
Asymptotics of Learning with Deep Structured (Random) Features
ICML 2024
Bayes-optimal Learning of Deep Random Networks of Extensive-width
ICML 2023
Deterministic equivalent and error universality of deep random features learning
ICML 2023
High-dimensional Asymptotics of Denoising Autoencoders
NeurIPS 2023
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
NeurIPS 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model
NeurIPS 2021