Damien Garreau
16 papers · 2014–2026 · 6 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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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(81)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Core AI
(7)
Core Methods
(7)
Deep Learning
(4)
Natural Language Processing
(3)
Applications
(3)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
feature attribution
(3)
random forest
(3)
neural network
(3)
text classification
(2)
feature importance
(2)
model explanation
(2)
deep ensemble
(2)
metric learning
(2)
interpretability method
(2)
binary classification
(1)
feature selection
(1)
gaussian processes
(1)
risk management
(1)
image segmentation
(1)
natural language processing
(1)
statistical inference
(1)
generalization error
(1)
time series
(1)
mahalanobis distance
(1)
structured prediction
(1)
Papers
Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means
UAI 2026
Are Ensembles Getting Better All the Time?
JMLR 2025
CAM-Based Methods Can See through Walls (Extended Abstract)
IJCAI 2025
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
ICML 2024
The Risks of Recourse in Binary Classification
AISTATS 2024
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
AISTATS 2023
Explainability as statistical inference
ICML 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
On the Robustness of Text Vectorizers
ICML 2023
How to scale hyperparameters for quickshift image segmentation
AISTATS 2022
An Analysis of LIME for Text Data
AISTATS 2021
What does LIME really see in images?
ICML 2021
Explaining the Explainer: A First Theoretical Analysis of LIME
AISTATS 2020
Comparison-Based Random Forests
ICML 2018
When do random forests fail?
NeurIPS 2018
Metric Learning for Temporal Sequence Alignment
NeurIPS 2014