Samuel Kaski

Samuel Kaski

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  • 2023

    Compositional Sculpting of Iterative Generative Processes

    Garipov, T., De Peuter, S., Yang, G., Gary, V., Kaski, S. & Jaakkola, T., 10 Dec 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). New Orleans, United States

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Cooperative Bayesian Optimization for Imperfect Agents

    Khoshvishkaie, A., Mikkola, P., Kaski, S. & Murena, P. A., 17 Sept 2023, Machine Learning and Knowledge Discovery in Databases : Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Rodrigues, M. G., Baralis, E. & Bronchi, F. (eds.). Springer Nature, Vol. 14169 LNAI. p. 475-490 16 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Differentiable user models

    Hämäläinen, A., Celikok, M. M. & Kaski, S., 4 Aug 2023, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). Journal of Machine Learning Research, Vol. 216. p. 798-808 11 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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

    Aushev, A., Tran, T., Pesonen, H., Howes, A. & Kaski, S., 20 Feb 2023, pre-print. 23 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Modular Flows: Differential Molecular Generation

    Garg, V., Heinonen, M., Kaski, S. & Verma, Y., Apr 2023, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook, NY: Curran Associates, Inc., Vol. 17. p. 12409-12421 13 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Multi-Fidelity Bayesian Optimization with Unreliable Information Sources

    Mikkola, P., Martinelli, J., Filstroff, L. & Kaski, S., 25 Apr 2023, Proceedings of the 26th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, p. 7425-7454 30 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

    Bharti, A., Naslidnyk, M., Key, O., Kaski, S. & Briol, F. X., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Journal of Machine Learning Research, p. 2289-2312 24 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Provably expressive temporal graph networks

    Garg, V., Kaski, S., Parente Paiva Mesquita, D. & Holanda De Souza Junior, A., Apr 2023, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook, NY: Curran Associates, Inc., Vol. 42. p. 32257-32269 13 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Teaching to Learn: Sequential Teaching of Learners with Internal States

    Celikok, M. M., Murena, P.-A. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 5. AAAI Press, p. 5939-5947 9 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Zero-Shot Assistance in Sequential Decision Problems

    De Peuter, S. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 10. AAAI Press, p. 11551-11559 9 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • 2022

    Approximate Bayesian Computation with Domain Expert in the Loop

    Bharti, A., Filstroff, L. & Kaski, S., 20 Jun 2022, Proceedings of the 39th International Conference on Machine Learning. Journal of Machine Learning Research, p. 1893-1905 13 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs

    Celikok, M. M., Oliehoek, F. A. & Kaski, S., 3 Apr 2022, (Accepted/In press) International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. International Foundation for Autonomous Agents and Multiagent Systems , p. 235-243 9 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Deconfounded Representation Similarity for Comparison of Neural Networks

    Cui, T., Kaski, S., Kumar, Y. & Marttinen, P., 31 Oct 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook, NY: Curran Associates, Inc., Vol. 25. p. 19138-19151 14 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • EntityBot: Actionable Entity Recommendations for Everyday Digital Task

    Vuong, T., Andolina, S., Jacucci, G., Daee, P., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., 28 Apr 2022, CHI 2022: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York, NY: Association for Computing Machinery, p. 1-4 4 p. 208

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations

    Nikitin, A. & Kaski, S., 14 Aug 2022, KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY: ACM Special Interest Group, p. 3682-3690 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Non-separable spatio-temporal graph kernels via SPDEs

    Nikitin, A., John, T., Solin, A. & Kaski, S., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, p. 10640-10660 21 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Parallel MCMC Without Embarrassing Failures

    de Souza, D. A., Parente Paiva Mesquita, D., Kaski, S. & Acerbi, L., 29 Mar 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, p. 1786-1804 19 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Tackling covariate shift with node-based Bayesian neural networks

    Trinh, T., Heinonen, M., Acerbi, L. & Kaski, S., 17 Jul 2022, Proceedings of the 39th International Conference on Machine Learning. Journal of Machine Learning Research, p. 21751-21775 25 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Variational multiple shooting for Bayesian ODEs with Gaussian processes

    Hedge, P., Yildiz, C., Lähdesmäki, H., Kaski, S. & Heinonen, M., 17 Jul 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR. Cussens, J. & Zhang, K. (eds.). Journal of Machine Learning Research, Vol. 180. p. 790-799 10 p. (Proceedings of Machine Learning Research; vol. 180).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • 2020

    A high-performance implementation of bayesian matrix factorization with limited communication

    Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 15 Jun 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). Springer London, p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Deep Convolutional Gaussian Processes

    Blomqvist, K., Kaski, S. & Heinonen, M., 30 Apr 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer London, p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Human Strategic Steering Improves Performance of Interactive Optimization

    Colella, F., Daee, P., Jokinen, J., Oulasvirta, A. & Kaski, S., 7 Jul 2020, UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, p. 293-297 5 p. (UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Learning global pairwise interactions with bayesian neural networks

    Cui, T., Marttinen, P. & Kaski, S., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press, p. 1087-1094 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Rethinking pooling in graph neural networks

    Mesquita, D., Souza, A. H. & Kaski, S., 2020, Advances in Neural Information Processing Systems. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Curran Associates, Inc., Vol. 33. p. 2220-2231 12 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Scalable Probabilistic Matrix Factorization with Graph-Based Priors

    Strahl, J., Peltonen, J., Mamitsuka, H. & Kaski, S., 3 Apr 2020, Proc. AAAI-2020, the Thirty-Fourth AAAI Conference on Artificial Intelligence. Vol. 34. p. 5851-5858 8 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • 2019

    Deep learning with differential Gaussian process flows

    Hegde, P., Heinonen, M., Lahdesmaki, H. & Kaski, S., 16 Apr 2019, Proceedings of Machine Learning Research: Artificial Intelligence and Statistics 2019. Vol. 89. p. 1812-1821 (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

    Afrabandpey, H., Peltola, T. & Kaski, S., 18 Mar 2019, Proceedings of IJCAI 2019, the Twenty-Eighth International Joint Conference on Artificial Intelligence. p. 1959-1966 8 p.

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Projective Preferential Bayesian Optimization

    Mikkola, P., Todorovic, M., Järvi, J., Rinke, P. & Kaski, S., 14 Aug 2019, Proc. ICML 2020, the 37th International Conference on Machine Learning. Vol. 119. p. 6884-6892 9 p. (PMLR).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review