Jeremias Knoblauch

31 papers A* 8A 3B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Output Robust and Conjugate Gaussian Processes. CoRR Joshua Rooijakkers, Leiv Rønneberg, François-Xavier Briol, Jeremias Knoblauch, Matías Altamirano
2025	J	`jnl`	Near-Optimal Approximations for Bayesian Inference in Function Space. CoRR Veit Wild, James Wu, Dino Sejdinovic, Jeremias Knoblauch
2025	A	`conf`	Prediction-Centric Uncertainty Quantification via MMD. AISTATS Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates
2025	J	`jnl`	Robust Bayesian Optimisation with Unbounded Corruptions. CoRR Abdelhamid Ezzerg, Ilija Bogunovic, Jeremias Knoblauch
2025	A*	`conf`	Robust and Conjugate Spatio-Temporal Gaussian Processes. ICML William Laplante, Matías Altamirano, Andrew B. Duncan, Jeremias Knoblauch, François-Xavier Briol
2024	A*	`conf`	Outlier-robust Kalman Filtering through Generalised Bayes. ICML Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy
2024	J	`jnl`	Outlier-robust Kalman Filtering through Generalised Bayes. CoRR Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy
2024	A*	`conf`	Robust and Conjugate Gaussian Process Regression. ICML Matías Altamirano, François-Xavier Briol, Jeremias Knoblauch
2023	A*	`conf`	A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. NeurIPS Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
2023	J	`jnl`	A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. CoRR Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
2023	J	`jnl`	Robust and Conjugate Gaussian Process Regression. CoRR Matías Altamirano, François-Xavier Briol, Jeremias Knoblauch
2023	A*	`conf`	Robust and Scalable Bayesian Online Changepoint Detection. ICML Matías Altamirano, François-Xavier Briol, Jeremias Knoblauch
2023	J	`jnl`	Robust and Scalable Bayesian Online Changepoint Detection. CoRR Matías Altamirano, François-Xavier Briol, Jeremias Knoblauch
2022	B	`conf`	Adversarial Interpretation of Bayesian Inference. ALT Hisham Husain, Jeremias Knoblauch
2022	J	`jnl`	An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference. J. Mach. Learn. Res. Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2022	A	`conf`	Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. AISTATS Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol
2022	J	`jnl`	Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. CoRR Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol
2022	J	`jnl`	Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. IEEE Access Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
2022	J	`jnl`	Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. CoRR Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
2021	—	`—`	Optimization-centric generalizations of Bayesian inference. Jeremias Knoblauch
2021	A	`conf`	Transforming Gaussian Processes With Normalizing Flows. AISTATS Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2020	A*	`conf`	Optimal Continual Learning has Perfect Memory and is NP-hard. ICML Jeremias Knoblauch, Hisham Husain, Tom Diethe
2020	J	`jnl`	Optimal Continual Learning has Perfect Memory and is NP-hard. CoRR Jeremias Knoblauch, Hisham Husain, Tom Diethe
2020	J	`jnl`	Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance. CoRR Jeremias Knoblauch, Lara Vomfell
2020	J	`jnl`	Transforming Gaussian Processes With Normalizing Flows. CoRR Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2019	J	`jnl`	Generalized Variational Inference. CoRR Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2019	J	`jnl`	Robust Deep Gaussian Processes. CoRR Jeremias Knoblauch
2018	A*	`conf`	Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences. NeurIPS Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018	J	`jnl`	Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences. CoRR Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018	A*	`conf`	Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. ICML Jeremias Knoblauch, Theodoros Damoulas
2018	J	`jnl`	Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. CoRR Jeremias Knoblauch, Theodoros Damoulas