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Samuel Kaski

Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Department of Computer Science, University of Manchester

Non-separable Spatio-temporal Graph Kernels via SPDEs


Nov 16, 2021
Alexander Nikitin, ST John, Arno Solin, Samuel Kaski


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Likelihood-Free Inference in State-Space Models with Unknown Dynamics


Nov 02, 2021
Alexander Aushev, Thong Tran, Henri Pesonen, Andrew Howes, Samuel Kaski

* 20 pages, 8 figures, uses arxiv.sty 

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Locally Differentially Private Bayesian Inference


Oct 27, 2021
Tejas Kulkarni, Joonas Jälkö, Samuel Kaski, Antti Honkela


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De-randomizing MCMC dynamics with the diffusion Stein operator


Oct 07, 2021
Zheyang Shen, Markus Heinonen, Samuel Kaski

* 22 pages, 6 figures. NeurIPS 2021 

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Learning to Assist Agents by Observing Them


Oct 04, 2021
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin


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Behaviour-conditioned policies for cooperative reinforcement learning tasks


Oct 04, 2021
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin


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Stochastic Cluster Embedding


Aug 18, 2021
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander


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Toward AI Assistants That Let Designers Design


Jul 22, 2021
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski

* 9 pages, 3 figures, submitted to IEEE Computer magazine 

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Bayesian inference of ODEs with Gaussian processes


Jun 21, 2021
Pashupati Hegde, Çağatay Yıldız, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen


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Targeted Active Learning for Bayesian Decision-Making


Jun 08, 2021
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski


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Affine Transport for Sim-to-Real Domain Adaptation


May 25, 2021
Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki


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DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction


Mar 31, 2021
Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka

* Guvencpaltun, B., Kaski, S., & Mamitsuka, H. (2021). DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, (01), 1-1 

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d3p -- A Python Package for Differentially-Private Probabilistic Programming


Mar 22, 2021
Lukas Prediger, Niki Loppi, Samuel Kaski, Antti Honkela


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Decision Rule Elicitation for Domain Adaptation


Feb 23, 2021
Alexander Nikitin, Samuel Kaski


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Differentially Private Bayesian Inference for Generalized Linear Models


Nov 09, 2020
Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela


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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

* 8 pages 

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Rethinking pooling in graph neural networks


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

* 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

* 14 pages, 5 figures 

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Likelihood-Free Inference with Deep Gaussian Processes


Jun 18, 2020
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski


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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

* 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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Variance reduction for distributed stochastic gradient MCMC


Apr 23, 2020
Khaoula El Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski

* 20 pages, 7 figures, currently under review 

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A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication


Apr 14, 2020
Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski

* European Commission Project: EPEEC - European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EC-H2020-80151) 

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Correlated Feature Selection with Extended Exclusive Group Lasso


Feb 27, 2020
Yuxin Sun, Benny Chain, Samuel Kaski, John Shawe-Taylor

* 10 pages, 4 figures 

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Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks


Feb 24, 2020
Tianyu Cui, Aki Havulinna, Pekka Marttinen, Samuel Kaski


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