In-Context In-Context Learning with Transformer Neural Processes

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:1-29

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Bayesian Optimization for Crop Genetics with Scalable Probabilistic Models

Ruhana Azam, Sang T. Truong, Samuel B. Fernandes, Andrew D.B. Leakey, Alexander Lipka, Mohammed El-Kebir, Sanmi Koyejo; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:30-44

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Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities

Alberto Bordino, Stefano Favaro, Sandra Fortini; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:45-78

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Implicitly Bayesian Prediction Rules in Deep Learning

Bruno Mlodozeniec, David Krueger, Richard Turner; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:79-110

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Fluctuation without dissipation: Microcanonical Langevin Monte Carlo

Jakob Robnik, Uros Seljak; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:111-126

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PAC-Bayesian Soft Actor-Critic Learning

Bahareh Tasdighi, Abdullah Akgül, Manuel Haussmann, Kenny Kazimirzak Brink, Melih Kandemir; Proceedings of the 6th Symposium on Advances in Approximate Bayesian Inference, PMLR 253:127-145

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