Sylvain Arlot
11 papers · 2009–2023 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(9)
Optimization & Theory
(7)
Mathematics & Optimization
(5)
Learning Types
(3)
Optimization
(3)
Mathematics
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Methods
(1)
Processing
(1)
Keywords
oracle inequality
(5)
model selection
(3)
feature selection
(2)
change point detection
(2)
kernel ridge regression
(2)
variable selection
(2)
metric learning
(2)
minimal penalty
(2)
mahalanobis distance
(2)
structured prediction
(2)
false discovery rate
(1)
sparse logistic regression
(1)
density estimation
(1)
high-dimensional inference
(1)
differential privacy
(1)
multiple kernel learning
(1)
conformal prediction
(1)
time series
(1)
cross validation
(1)
covariance estimation
(1)
Papers
One-Shot Federated Conformal Prediction
ICML 2023
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
NeurIPS 2022
Aggregated Hold-Out
JMLR 2021
Aggregation of Multiple Knockoffs
ICML 2020
A Kernel Multiple Change-point Algorithm via Model Selection
JMLR 2019
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
JMLR 2016
Large-Margin Metric Learning for Constrained Partitioning Problems
ICML 2014
Metric Learning for Temporal Sequence Alignment
NeurIPS 2014
Multi-task Regression using Minimal Penalties
JMLR 2012
Data-driven calibration of linear estimators with minimal penalties
NeurIPS 2009
Data-driven Calibration of Penalties for Least-Squares Regression
JMLR 2009