Claire Boyer
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Machine Learning
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Artificial Intelligence
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excess risk
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stochastic gradient descent
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optimal transport
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missing data
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kernel regression
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partial differential equation
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decision tree
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linear regression
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missing value
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random forest
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convergence rate
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missing data imputation
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supervised learning
(1)
minimax estimation
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linear discriminant analysis
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logistic regression
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distribution matching
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tree ensemble
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sliced wasserstein distance
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Papers
CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT
COLT 2026
A primer on linear classification with missing data
AISTATS 2025
Attention layers provably solve single-location regression
ICLR 2025
Optimal transport-based conformal prediction
ICML 2025
Physics-informed Kernel Learning
JMLR 2025
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
COLT 2025
Physics-informed machine learning as a kernel method
COLT 2024
Random features models: a way to study the success of naive imputation
ICML 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
NeurIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
NeurIPS 2020
Missing Data Imputation using Optimal Transport
ICML 2020