default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAABI 2024: Vienna, Austria
- Javier Antorán, Christian A. Naesseth:
Symposium on Advances in Approximate Bayesian Inference, Vienna, Austria, 21 July 2024. Proceedings of Machine Learning Research 253, PMLR 2024 - Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner:
In-Context In-Context Learning with Transformer Neural Processes. 1-29 - Ruhana Azam, Sang T. Truong, Samuel B. Fernandes, Andrew D. B. Leakey, Alexander E. Lipka, Mohammed El-Kebir, Sanmi Koyejo:
Bayesian Optimization for Crop Genetics with Scalable Probabilistic Models. 30-44 - Alberto Bordino, Stefano Favaro, Sandra Fortini:
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities. 45-78 - Bruno Mlodozeniec, David Krueger, Richard E. Turner:
Implicitly Bayesian Prediction Rules in Deep Learning. 79-110 - Jakob Robnik, Uros Seljak:
Fluctuation without dissipation: Microcanonical Langevin Monte Carlo. 111-126 - Bahareh Tasdighi, Abdullah Akgül, Manuel Haussmann, Kenny Kazimirzak Brink, Melih Kandemir:
PAC-Bayesian Soft Actor-Critic Learning. 127-145
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-28 23:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
