Emanuele Troiani
5 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Trend Setter
Venues
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Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
gradient descent
(2)
approximate message passing
(2)
learning theory
(2)
bayesian inference
(1)
sample complexity
(1)
outlier detection
(1)
asymptotic analysis
(1)
message passing
(1)
generalization error
(1)
matrix denoising
(1)
loss function
(1)
test error
(1)
bayes-optimal test error
(1)
quadratic activation
(1)
information exponent
(1)
empirical risk minimisation
(1)
robust linear regression
(1)
sharp threshold
(1)
neural network
(1)
self-attention layer
(1)
Papers
Fundamental computational limits of weak learnability in high-dimensional multi-index models
AISTATS 2025
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
ICML 2025
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers
AISTATS 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
NeurIPS 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
ICML 2024