Interactive machine learning from multiple biodata sources

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  • 2023

    Teaching to Learn: Sequential Teaching of Learners with Internal States

    Çelikok, M. M., Murena, P. A. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 5. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 5939-5947 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

    Loftin, R., Celikok, M. M., Van Hoof, H., Kaski, S. & Oliehoek, F. A., 2023, (Accepted/In press) AAMAS 2024, International Conference on Autonomous Agents and Multiagent Systems. May 6, 2024 - May 10, 2024, Auckland, New Zealand. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

  • 2022

    Tackling covariate shift with node-based Bayesian neural networks

    Trinh, T. Q., Heinonen, M., Acerbi, L. & Kaski, S., 17 Jul 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). JMLR, p. 21751-21775 25 p. (Proceedings of Machine Learning Research; vol. 162).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    36 Downloads (Pure)
  • 2021

    Bayesian Inference for Optimal Transport with Stochastic Cost

    Mallasto, A., Heinonen, M. & Kaski, S., 2021, Proceedings of Asian Conference on Machine Learning. JMLR, p. 1601-1616 16 p. (Proceedings of Machine Learning Research; vol. 157).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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  • Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks

    Keurulainen, A., Westerlund, I., Kwiatkowski, A., Kaski, S. & Ilin, A., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer, p. 493-504 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    1 Citation (Scopus)
  • Decision Rule Elicitation for Domain Adaptation

    Nikitin, A. & Kaski, S., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021. ACM, p. 244-248 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    4 Citations (Scopus)
  • De-randomizing MCMC dynamics with the diffusion Stein operator

    Shen, Z., Heinonen, M. & Kaski, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Neural Information Processing Systems Foundation, p. 17507-17517 11 p. (Advances in Neural Information Processing Systems; vol. 21).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    2 Citations (Scopus)
    45 Downloads (Pure)
  • EntityBot: Supporting everyday digital tasks with entity recommendations

    Vuong, T., Andolina, S., Jacucci, G., Daee, P., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., 13 Sept 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. ACM, p. 753-756 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Federated Stochastic Gradient Langevin Dynamics

    El Mekkaoui, K., Parente Paiva Mesquita, D., Blomstedt, P. & Kaski, S., Dec 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. JMLR, p. 1703-1712 10 p. (Proceedings of Machine Learning Research ; no. 161).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Learning to Assist Agents by Observing Them

    Keurulainen, A., Westerlund, I., Kaski, S. & Ilin, A., 2021, Artificial Neural Networks and Machine Learning – ICANN 2021 - 30th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). Springer, p. 519-530 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12894 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

    Koskela, A., Jälkö, J., Prediger, L. & Honkela, A., 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistics. Banerjee, A. & Fukumizu, K. (eds.). JMLR, 10 p. (Proceedings of Machine Learning Research ; vol. 130).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • 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., 1 Jan 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, 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/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • 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: UMAP 2020. New York, NY, United States: ACM, p. 293-297 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    4 Citations (Scopus)
  • 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/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    8 Citations (Scopus)
    45 Downloads (Pure)
  • Learning spectrograms with convolutional spectral kernels

    Shen, Z., Heinonen, M. & Kaski, S., 2020, The 23rd International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). JMLR, p. 3826-3836 10 p. (Proceedings of Machine Learning Research; vol. 108).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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  • Projective Preferential Bayesian Optimization

    Mikkola, P., Todorovic, M., Järvi, J., Rinke, P. & Kaski, S., 21 Nov 2020, 37th International Conference on Machine Learning, ICML 2020. International Machine Learning Society , p. 6840-6848 9 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    3 Citations (Scopus)
    47 Downloads (Pure)
  • Rethinking pooling in graph neural networks

    Mesquita, D., Souza, A. & Kaski, S., 2020, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). Morgan Kaufmann Publishers, (Advances in neural information processing systems; vol. 33).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • 2019

    Active Learning for Decision-Making from Imbalanced Observational Data

    Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2019, 36th International Conference on Machine Learning, ICML 2019. JMLR, p. 10578-10587 10 p. (Proceedings of Machine Learning Research; vol. 97).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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  • Deep learning with differential Gaussian process flows

    Hegde, P., Heinonen, M., Lähdesmäki, H. & Kaski, S., Apr 2019, The 22nd International Conference on Artificial Intelligence and Statistic. JMLR, Vol. 89. p. 1-15 16 p. (Proceedings of Machine Learning Research; vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    15 Citations (Scopus)
    103 Downloads (Pure)
  • Embarrassingly parallel MCMC using deep invertible transformations

    Mesquita, D., Blomstedt, P. & Kaski, S., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference. JMLR, (Proceedings of Machine Learning Research ; vol. 115).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    3 Citations (Scopus)
    53 Downloads (Pure)
  • Harmonizable mixture kernels with variational Fourier features

    Shen, Z., Heinonen, M. & Kaski, S., May 2019, The 22nd International Conference on Artificial Intelligence and Statistics. JMLR, p. 1812-1821 (Proceedings of Machine Learning Research; vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
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    7 Citations (Scopus)
    90 Downloads (Pure)
  • Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

    Afrabandpey, H., Peltola, T. & Kaski, S., Jul 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. IJCAI, p. 1959-1966 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    3 Citations (Scopus)
  • Machine Teaching of Active Sequential Learners

    Peltola, T., Çelikok, M. M., Daee, P. & Kaski, S., 28 Nov 2019, 33rd Conference on Neural Information Processing Systems: NeurIPS 2019 . Neural Information Processing Systems Foundation, p. 11202-11213 12 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Scalable Bayesian non-linear matrix completion

    Qin, X., Blomstedt, P. & Kaski, S., 1 Jan 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). IJCAI, p. 3275-3281 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access