Isabelle Guyon
10 papers · 2001–2023 · 4 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 (23) π Academic Marathon Β· Ultra π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
π
Conference Pioneer
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Computer Science
(2)
Mathematics & Optimization
(2)
Applications Β· Computer Science
(2)
Learning Paradigms
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Applications Β· Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
model selection
(2)
image classification
(1)
hyperparameter optimization
(1)
reproducible research
(1)
benchmark evaluation
(1)
adversarial learning
(1)
few-shot learning
(1)
video understanding
(1)
variable selection
(1)
transfer learning
(1)
computer vision
(1)
bayesian inference
(1)
feature selection
(1)
causal discovery
(1)
compressed sensing
(1)
multimodal learning
(1)
dimensionality reduction
(1)
structural learning
(1)
machine learning
(1)
statistical learning
(1)
Papers
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges
JMLR 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
NeurIPS 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
JMLR 2022
Deep Statistical Solvers
NeurIPS 2020
Design and Analysis of the NIPS 2016 Review Process
JMLR 2018
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention
AutoML 2016
Challenges in multimodal gesture recognition
JMLR 2016
Model Selection: Beyond the Bayesian/Frequentist Divide
JMLR 2010
An Introduction to Variable and Feature Selection
JMLR 2003
Design and Analysis of the Causation and Prediction Challenge
AISTATS 2001