Jeremias Knoblauch

According to our database1, Jeremias Knoblauch authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Robust and Conjugate Gaussian Process Regression.
CoRR, 2023

A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust and Scalable Bayesian Online Changepoint Detection.
Proceedings of the International Conference on Machine Learning, 2023

2022
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference.
J. Mach. Learn. Res., 2022

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.
IEEE Access, 2022

Adversarial Interpretation of Bayesian Inference.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Optimization-centric generalizations of Bayesian inference.
PhD thesis, 2021

Transforming Gaussian Processes With Normalizing Flows.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance.
CoRR, 2020

Optimal Continual Learning has Perfect Memory and is NP-hard.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Robust Deep Gaussian Processes.
CoRR, 2019

Generalized Variational Inference.
CoRR, 2019

2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences.
CoRR, 2018

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection.
Proceedings of the 35th International Conference on Machine Learning, 2018


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