Jonathan Wenger
7 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Bayesian & Probabilistic · Machine Learning
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Learning Types
(3)
Optimization
(2)
Data Science & Analytics
(1)
Mathematics
(1)
Methods
(1)
Keywords
gaussian process
(5)
uncertainty quantification
(3)
bayesian inference
(2)
predictive uncertainty
(2)
hyperparameter optimization
(2)
kernel matrix
(2)
variational inference
(2)
conjugate gradient
(2)
probability calibration
(1)
linear convergence
(1)
uncertainty estimation
(1)
linear system
(1)
kalman smoothing
(1)
conjugate gradient method
(1)
linear-time inference
(1)
matrix-vector product
(1)
alternating projection
(1)
iterative method
(1)
confidence estimation
(1)
stochastic trace estimation
(1)
Papers
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NeurIPS 2024
Large-Scale Gaussian Processes via Alternating Projection
AISTATS 2024
Posterior and Computational Uncertainty in Gaussian Processes
NeurIPS 2022
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Non-Parametric Calibration for Classification
AISTATS 2020
Probabilistic Linear Solvers for Machine Learning
NeurIPS 2020