Erwan Scornet
14 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge
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Keyword Pioneer
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Cross-Pollinator
(12)
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Unstoppable
(6)
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Century Club
(14)
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(2)
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Trend Setter
Conferences
AISTATS (5)
ICML (5)
NIPS (3)
ICLR (1)
Top co-authors
Research topics
Keywords
random forest
(5)
decision tree
(3)
neural network
(2)
excess risk
(2)
missing datum
(2)
missing value
(2)
interpretable machine learning
(1)
ridge regression
(1)
online learning
(1)
differentiable programming
(1)
minimax estimation
(1)
linear regression
(1)
high-dimensional linear model
(1)
missing value imputation
(1)
supervised learning
(1)
missing data imputation
(1)
minimax rate
(1)
joint learning
(1)
risk bound
(1)
generalization bound
(1)
Papers
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
ICML 2025
A primer on linear classification with missing data
AISTATS 2025
Random features models: a way to study the success of naive imputation
ICML 2024
Sparse tree-based Initialization for Neural Networks
ICLR 2023
Is interpolation benign for random forest regression?
AISTATS 2023
Naive imputation implicitly regularizes high-dimensional linear models
ICML 2023
Near-optimal rate of consistency for linear models with missing values
ICML 2022
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
AISTATS 2022
What’s a good imputation to predict with missing values?
NIPS 2021
Interpretable Random Forests via Rule Extraction
AISTATS 2021
Analyzing the tree-layer structure of Deep Forests
ICML 2021
Linear predictor on linearly-generated data with missing values: non consistency and solutions
AISTATS 2020
NeuMiss networks: differentiable programming for supervised learning with missing values.
NIPS 2020
Universal consistency and minimax rates for online Mondrian Forests
NIPS 2017