Claire Boyer
15 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (20) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
⚡
Prolific Year
(5)
❓
The Questioner
💎
Century Club
(15)
🔥
Unstoppable
(6)
Conferences
ICML (6)
AISTATS (2)
COLT (2)
ICLR (2)
NIPS (2)
JMLR (1)
Top co-authors
Research topics
Keywords
missing value
(2)
excess risk
(2)
linear regression
(2)
missing data imputation
(2)
decision tree
(2)
kernel regression
(2)
missing datum
(2)
random forest
(2)
partial differential equation
(2)
stochastic gradient descent
(2)
risk bound
(1)
implicit regularization
(1)
physics-informed learning
(1)
generalization capability
(1)
benign overfitting
(1)
convergence speed
(1)
end-to-end learning
(1)
low-rank model
(1)
data imputation
(1)
linear model
(1)
Papers
Physics-informed Kernel Learning
JMLR 2025
A primer on linear classification with missing data
AISTATS 2025
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
COLT 2025
Attention layers provably solve single-location regression
ICLR 2025
Optimal transport-based conformal prediction
ICML 2025
Random features models: a way to study the success of naive imputation
ICML 2024
Physics-informed machine learning as a kernel method
COLT 2024
Is interpolation benign for random forest regression?
AISTATS 2023
Naive imputation implicitly regularizes high-dimensional linear models
ICML 2023
Sparse tree-based Initialization for Neural Networks
ICLR 2023
Near-optimal rate of consistency for linear models with missing values
ICML 2022
Analyzing the tree-layer structure of Deep Forests
ICML 2021
Debiasing Averaged Stochastic Gradient Descent to handle missing values
NIPS 2020
Missing Data Imputation using Optimal Transport
ICML 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
NIPS 2020