Noah Hollmann
7 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (3) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (11) ๐งญ Keyword Pioneer ๐ Cross-Pollinator (15)
๐
Triple Crown
Conferences
ICML (3)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
in-context learning
(2)
tabular datum
(2)
prior-data fitted network
(2)
distribution shift
(1)
bayesian optimization
(1)
surrogate model
(1)
structural causal model
(1)
feature engineering
(1)
automated machine learning
(1)
posterior predictive distribution
(1)
surrogate modeling
(1)
semantic feature
(1)
large language model
(1)
bayesian inference
(1)
roc auc
(1)
hyperparameter optimization
(1)
gaussian process
(1)
Papers
Position: The Future of Bayesian Prediction Is Prior-Fitted
ICML 2025
FairPFN: A Tabular Foundation Model for Causal Fairness
ICML 2025
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
NIPS 2024
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
ICLR 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
NIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
Transformers Can Do Bayesian Inference
ICLR 2022