Florence d’Alché-Buc
13 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (14)
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Keyword Pioneer
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(14)
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(2)
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(6)
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(13)
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(5)
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Keyword Collector
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Conferences
AISTATS (5)
ICML (4)
ACML (2)
EMNLP (1)
IJCNLP (1)
Top co-authors
Keywords
reproducing kernel hilbert space
(5)
kernel methods
(4)
functional regression
(3)
opinion mining
(3)
multimodal learning
(2)
attention mechanism
(2)
optimal transport
(2)
epsilon-insensitive loss
(2)
hierarchical model
(2)
operator-valued kernel
(2)
fine-grained opinion
(2)
convex optimization
(1)
graph prediction
(1)
anomaly detection
(1)
unsupervised learning
(1)
kernel principal component analysis
(1)
hyperparameter learning
(1)
multi-task learning
(1)
quantile regression
(1)
support vector regression
(1)
Papers
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
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
Nonlinear Functional Output Regression: A Dictionary Approach
AISTATS 2021
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
IJCNLP 2019
Functional Isolation Forest
ACML 2019
Autoencoding any Data through Kernel Autoencoders
AISTATS 2019
Infinite Task Learning in RKHSs
AISTATS 2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
EMNLP 2019
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
ICML 2018
Data sparse nonparametric regression with $ε$-insensitive losses
ACML 2017