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Samuel Kaski

Sample-efficient reinforcement learning using deep Gaussian processes

Nov 02, 2020
Charles Gadd, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski

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Scalable Bayesian neural networks by layer-wise input augmentation

Oct 26, 2020
Trung Trinh, Samuel Kaski, Markus Heinonen

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* 8 pages

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Rethinking pooling in graph neural networks

Oct 22, 2020
Diego Mesquita, Amauri H. Souza, Samuel Kaski

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* Accepted to NeurIPS 2020

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Bayesian Inference for Optimal Transport with Stochastic Cost

Oct 19, 2020
Anton Mallasto, Markus Heinonen, Samuel Kaski

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Privacy-preserving Data Sharing on Vertically Partitioned Data

Oct 19, 2020
Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela

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Teaching to Learn: Sequential Teaching of Agents with Inner States

Sep 14, 2020
Mustafa Mert Celikok, Pierre-Alexandre Murena, Samuel Kaski

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Differentially private cross-silo federated learning

Jul 10, 2020
Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela

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* 14 pages, 5 figures

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Human Strategic Steering Improves Performance of Interactive Optimization

May 04, 2020
Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski

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* 10 pages, 5 figures, The paper is published in the proceedings of UMAP 2020. Codes available at https://github.com/fcole90/interactive_bayesian_optimisation

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