Thomas Nagler
11 papers · 2023–2026 · 6 venues · across top CS/AI venues
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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(3)
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(2)
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uncertainty quantification
(3)
bootstrap method
(2)
bayesian inference
(2)
time series
(2)
hyperparameter optimization
(1)
embedding
(1)
semi-supervised learning
(1)
online algorithm
(1)
in-context learning
(1)
empirical risk minimization
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marginal likelihood
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cross validation
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epistemic uncertainty
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nonparametric regression
(1)
curse of dimensionality
(1)
generalization error
(1)
posterior predictive
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feature interaction
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anomaly detection
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transformer architecture
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Papers
Online Bootstrap Inference for the Trend of Nonstationary Time Series
UAI 2026
Optimal Neural Network Approximation of Smooth Compositional Functions on Sets with Low Intrinsic Dimension
COLT 2026
Adjustment for Confounding using Pre-Trained Representations
ICML 2025
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
UAI 2025
An Online Bootstrap for Time Series
AISTATS 2024
Decomposing Global Feature Effects Based on Feature Interactions
JMLR 2024
Generalizing Orthogonalization for Models with Non-Linearities
ICML 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification
UAI 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
NeurIPS 2024
Approximately Bayes-optimal pseudo-label selection
UAI 2023
Statistical Foundations of Prior-Data Fitted Networks
ICML 2023