Thibaut Vidal
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory · Machine Learning
(6)
Deep Learning
(3)
Core Methods
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Application Areas
(1)
Architectures
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
tree ensemble
(3)
counterfactual explanation
(3)
random forest
(2)
model compression
(2)
mixed integer programming
(2)
dynamic programming
(1)
gradient boosting
(1)
model pruning
(1)
boosting method
(1)
classification algorithm
(1)
variational autoencoder
(1)
decision tree
(1)
latent space
(1)
functional equivalence
(1)
inference speed
(1)
nearest-neighbor predictor
(1)
first-order optimization
(1)
data-driven optimization
(1)
ensemble pruning
(1)
constraint programming
(1)
Papers
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
AAAI 2025
CF-OPT: Counterfactual Explanations for Structured Prediction
ICML 2024
DistrictNet: Decision-aware learning for geographical districting
NeurIPS 2024
Trained Random Forests Completely Reveal your Dataset
ICML 2024
Explainable Data-Driven Optimization: From Context to Decision and Back Again
ICML 2023
Optimal Decision Diagrams for Classification
AAAI 2023
Optimal Counterfactual Explanations in Tree Ensembles
ICML 2021
Born-Again Tree Ensembles
ICML 2020