Florence d’Alché-Buc
13 papers · 2017–2026 · 5 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
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🏆 Keyword Champion (2)
🗃️
Keyword Collector
(56)
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
📈
Trend Setter
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(11)
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Optimization
(4)
Core AI
(3)
Optimization & Theory
(3)
Application Areas
(2)
Learning Types
(2)
Mathematics
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
reproducing kernel hilbert space
(5)
kernel methods
(4)
functional regression
(3)
graph prediction
(2)
opinion mining
(2)
optimal transport
(2)
quantile regression
(2)
epsilon-insensitive loss
(2)
operator-valued kernel
(2)
anomaly detection
(1)
kernel principal component analysis
(1)
conformal prediction
(1)
unsupervised learning
(1)
attention mechanism
(1)
hyperparameter learning
(1)
multi-task learning
(1)
support vector regression
(1)
structured prediction
(1)
empirical risk minimization
(1)
multimodal learning
(1)
Papers
Conformal Graph Prediction with Z-Gromov Wasserstein Distances
UAI 2026
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses
ICML 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022
Nonlinear Functional Output Regression: A Dictionary Approach
AISTATS 2021
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020
Autoencoding any Data through Kernel Autoencoders
AISTATS 2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
EMNLP 2019
Functional Isolation Forest
ACML 2019
Infinite Task Learning in RKHSs
AISTATS 2019
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
ICML 2018
Data sparse nonparametric regression with $ε$-insensitive losses
ACML 2017