Giulia Luise
9 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
optimal transport
(4)
sinkhorn divergence
(2)
probability distribution
(2)
imitation learning
(1)
convex optimization
(1)
bayesian inference
(1)
transfer learning
(1)
excess risk bound
(1)
kl divergence
(1)
trace norm regularization
(1)
gradient descent
(1)
ranking problem
(1)
particle-based inference
(1)
maximum mean discrepancy
(1)
gradient computation
(1)
structured prediction
(1)
variational inference
(1)
non-asymptotic analysis
(1)
graph topology
(1)
multi-task learning
(1)
Papers
Meta Optimal Transport
ICML 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
ICML 2023
Aligning Time Series on Incomparable Spaces
AISTATS 2021
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
NeurIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
NeurIPS 2020
The Wasserstein Proximal Gradient Algorithm
NeurIPS 2020
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
ICML 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
NeurIPS 2019
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
NeurIPS 2018