Florence d'Alché-Buc
10 papers · 2016–2025 · 3 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 · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
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Machine Learning
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Optimization & Theory
(2)
Computer Science
(1)
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(1)
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(1)
Analysis
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Keywords
structured prediction
(2)
interpretable model
(2)
reproducing kernel hilbert space
(2)
semi-supervised learning
(1)
graph prediction
(1)
model calibration
(1)
multi-label classification
(1)
data augmentation
(1)
least squares regression
(1)
ridge regression
(1)
interpretable machine learning
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feature embedding
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image reconstruction
(1)
coordinate descent
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quantile regression
(1)
optimal transport
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structured output prediction
(1)
audio classification
(1)
multi-task learning
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link prediction
(1)
Papers
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
Tailoring Mixup to Data for Calibration
ICLR 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
NeurIPS 2022
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
JMLR 2022
A Framework to Learn with Interpretation
NeurIPS 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
A Structured Prediction Approach for Label Ranking
NeurIPS 2018
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels
JMLR 2016
Joint quantile regression in vector-valued RKHSs
NeurIPS 2016