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Outcome-Driven Reinforcement Learning via Variational Inference.

T. Rudner, V. Pong, R. McAllister, Y. Gal, and S. Levine. NeurIPS, page 13045-13058. (2021)

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David Rudner

Justine Rudner

Michael Rudner

Peter G J Wendelstein

Markus J G Fehr

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Protein Design with Guided Discrete Diffusion.N. Gruver, S. Stanton, N. Frey, T. Rudner, I. Hötzel, J. Lafrance-Vanasse, A. Rajpal, K. Cho, and A. Wilson. CoRR, (2023)Tractable Function-Space Variational Inference in Bayesian Neural Networks.T. Rudner, Z. Chen, Y. Teh, and Y. Gal. CoRR, (2023)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.T. Papamarkou, M. Skoularidou, K. Palla, L. Aitchison, J. Arbel, D. Dunson, M. Filippone, V. Fortuin, P. Hennig, J. Hernández-Lobato and 15 other author(s). CoRR, (2024)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.Z. Nado, N. Band, M. Collier, J. Djolonga, M. Dusenberry, S. Farquhar, A. Filos, M. Havasi, R. Jenatton, G. Jerfel and 14 other author(s). CoRR, (2021)Should We Learn Most Likely Functions or Parameters?S. Qiu, T. Rudner, S. Kapoor, and A. Wilson. CoRR, (2023)Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery.T. Rudner, M. Rußwurm, J. Fil, R. Pelich, B. Bischke, V. Kopacková, and P. Bilinski. AAAI, page 702-709. AAAI Press, (2019)An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization.R. Shwartz-Ziv, R. Balestriero, K. Kawaguchi, T. Rudner, and Y. LeCun. CoRR, (2023)On the Connection between Neural Processes and Gaussian Processes with Deep KernelsT. Rudner, V. Fortuin, Y. Teh, and Y. Gal. (2019)Inter-domain Deep Gaussian Processes.T. Rudner, D. Sejdinovic, and Y. Gal. ICML, volume 119 of Proceedings of Machine Learning Research, page 8286-8294. PMLR, (2020)VIREL: A Variational Inference Framework for Reinforcement Learning.M. Fellows, A. Mahajan, T. Rudner, and S. Whiteson. CoRR, (2018)

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Disambiguation of "Rudner, Tim G. J."

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Outcome-Driven Reinforcement Learning via Variational Inference.

Please choose a person to relate this publication to

David Rudner

Justine Rudner

Michael Rudner

Peter G J Wendelstein

Markus J G Fehr

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rudner, Tim G. J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Outcome-Driven Reinforcement Learning via Variational Inference.

Please choose a person to relate this publication to

David Rudner

Justine Rudner

Michael Rudner

Peter G J Wendelstein

Markus J G Fehr

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Outcome-Driven Reinforcement Learning via Variational Inference.