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Papers matching “posterior approach” 10

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Adaptation using spatially distributed Gaussian Processes
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Generating Functions Meet Occupation Measures: Invariant Synthesis for Probabilistic Loops (Extended Version)
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Darion Haase, Kevin Batz, Adrian Gallus, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Lutz Klinkenberg, +1 more

1

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
Improving Factored Hybrid HMM Acoustic Modeling without State Tying
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney

0

citations
Exact Inference for Continuous-Time Gaussian Process Dynamics
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

0

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Tina Raissi, Christoph Lüscher, Moritz Gunz, Ralf Schlüter, Hermann Ney

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

0

citations
Does Joint Training Really Help Cascaded Speech Translation?
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Viet Anh Tran, David Thulke, Yingbo Gao, Christian Herold, Hermann Ney

0

citations

10 results