Gael Varoquaux
29 papers · 2010–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Gael Varoquaux?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Marine Le Morvan, Lihu Chen, Julie Josse
13 papers
· 2020–2025
· AISTATS, ICLR, EACL
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Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
AISTATS 2025
Imputation for prediction: beware of diminishing returns.
ICLR 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
ICML 2025
Learning High-Quality and General-Purpose Phrase Representations
EACL 2024
Reconfidencing LLMs from the Grouping Loss Perspective
EMNLP 2024
Beyond calibration: estimating the grouping loss of modern neural networks
ICLR 2023
GLADIS: A General and Large Acronym Disambiguation Benchmark
EACL 2023
The Locality and Symmetry of Positional Encodings
EMNLP 2023
Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost
ACL 2022
A Lightweight Neural Model for Biomedical Entity Linking
AAAI 2021
What’s a good imputation to predict with missing values?
NeurIPS 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.
NeurIPS 2020