Jeremias Knoblauch
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (7) π Cross-Pollinator (10)
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Conference Polyglot
(5)
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Academic Marathon
(7)
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Cross-Pollinator
(10)
π
Century Club
(13)
π₯
Unstoppable
(6)
π
Trend Setter
Conferences
ICML (6)
AISTATS (3)
NIPS (2)
ALT (1)
JMLR (1)
Top co-authors
Keywords
bayesian inference
(6)
variational inference
(4)
generalized bayesian
(2)
model selection
(1)
online learning
(1)
uncertainty quantification
(1)
computational complexity
(1)
episodic memory
(1)
robust inference
(1)
maximum mean discrepancy
(1)
robust bayesian
(1)
changepoint detection
(1)
posterior approximation
(1)
experience replay
(1)
scalable algorithm
(1)
simulator-based model
(1)
wasserstein gradient flow
(1)
bayesian method
(1)
deep ensemble
(1)
pac-bayesian theory
(1)
Papers
Prediction-Centric Uncertainty Quantification via MMD
AISTATS 2025
Robust and Conjugate Spatio-Temporal Gaussian Processes
ICML 2025
Outlier-robust Kalman Filtering through Generalised Bayes
ICML 2024
Robust and Conjugate Gaussian Process Regression
ICML 2024
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
NIPS 2023
Robust and Scalable Bayesian Online Changepoint Detection
ICML 2023
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
AISTATS 2022
Adversarial Interpretation of Bayesian Inference
ALT 2022
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference
JMLR 2022
Transforming Gaussian Processes With Normalizing Flows
AISTATS 2021
Optimal Continual Learning has Perfect Memory and is NP-hard
ICML 2020
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
ICML 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences
NIPS 2018