Interactive machine learning from multiple biodata sources

  • Kaski, Samuel (Principal investigator)
  • Hämäläinen, Alex (Project Member)
  • Gadd, Charles (Project Member)
  • Hegde, Pashupati (Project Member)
  • Shen, Zheyang (Project Member)
  • Siren, Jukka (Project Member)
  • Trinh, Trung (Project Member)
  • Jain, Anirudh (Project Member)
  • Jälkö, Joonas (Project Member)
  • 24 Conference article in proceedings
  • 13 Article
  • 1 Conference article

Search results

  • 2024

    Likelihood-free inference in state-space models with unknown dynamics

    Aushev, A., Tran, T., Pesonen, H., Howes, A. & Kaski, S., Feb 2024, In: STATISTICS AND COMPUTING. 34, 1, 27.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    1 Citation (Scopus)
    55 Downloads (Pure)

  • Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

    Loftin, R., Çelikok, M. M., van Hoof, H., Kaski, S. & Oliehoek, F. A., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. ACM, p. 1265-1273 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    1 Citation (Scopus)

  • The influence of inter-regional delays in generating large-scale brain networks of phase synchronization

    Williams, N., Ojanperä, A., Siebenhühner, F., Toselli, B., Palva, S., Arnulfo, G., Kaski, S. & Palva, J. M., 1 Oct 2023, In: NeuroImage. 279, p. 1-22 22 p., 120318.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    2 Citations (Scopus)
    74 Downloads (Pure)

  • Toward AI assistants that let designers design

    De Peuter, S., Oulasvirta, A. & Kaski, S., Mar 2023, In: AI Magazine. 44, 1, p. 85-96 12 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    9 Citations (Scopus)
    193 Downloads (Pure)
  • 2022

    d3p - A Python Package for Differentially-Private Probabilistic Programming

    Prediger, L., Loppi, N., Kaski, S. & Honkela, A., 1 Apr 2022, In: Proceedings of Privacy Enhancing Technologies. 2022, 2, p. 407–425

    Research output: Contribution to journal › Conference article › Scientific › peer-review

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    126 Downloads (Pure)

  • Gene–gene interaction detection with deep learning

    Cui, T., El Mekkaoui, K., Reinvall, J., Havulinna, A. S., Marttinen, P. & Kaski, S., 12 Nov 2022, In: Communications Biology. 5, 1, p. 1-12 12 p., 1238.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    9 Citations (Scopus)
    126 Downloads (Pure)

  • Likelihood-free inference by ratio estimation

    Thomas, O. M., Dutta, R., Corander, J., Kaski, S. & Gutmann, M., Mar 2022, In: Bayesian Analysis. 17, 1, 31 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    38 Citations (Scopus)
    125 Downloads (Pure)

  • Likelihood-Free Inference with Deep Gaussian Processes

    Aushev, A., Pesonen, H., Heinonen, M., Corander, J. & Kaski, S., Oct 2022, In: Computational Statistics & Data Analysis. 174, p. 1-19 19 p., 107529.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    84 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    66 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    67 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    4 Citations (Scopus)
    70 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    1 Citation (Scopus)

  • Entity Recommendation for Everyday Digital Tasks

    Jacucci, G., Daee, P., Vuong, T., Andolina, S., Klouche, K., Sjöberg, M., Ruotsalo, T. & Kaski, S., Oct 2021, In: ACM Transactions on Computer-Human Interaction. 28, 5, 41 p., 3458919.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    14 Citations (Scopus)
    132 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    59 Downloads (Pure)

  • Informative Bayesian Neural Network Priors for Weak Signals

    Cui, T., Havulinna, A. S., Marttinen, P. & Kaski, S., 2021, In: Bayesian Analysis.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    1 Citation (Scopus)
    129 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Privacy-preserving data sharing via probabilistic modeling

    Jälkö, J., Lagerspetz, E., Haukka, J., Tarkoma, S., Honkela, A. & Kaski, S., 9 Jul 2021, In: Patterns. 2, 7, 10 p., 100271.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    9 Citations (Scopus)
    114 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    36 Downloads (Pure)
  • 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 proceeding › Conference article in proceedings › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    7 Citations (Scopus)

  • Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement

    Ruotsalo, T., Jacucci, G. & Kaski, S., 1 Jul 2020, In: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY. 71, 7, p. 742-756 15 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    17 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    8 Citations (Scopus)
    69 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    64 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    6 Citations (Scopus)
    85 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    108 Downloads (Pure)
  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    132 Downloads (Pure)

  • Block HSIC Lasso: Model-free biomarker detection for ultra-high dimensional data

    Climente-González, H., Azencott, C. A., Kaski, S. & Yamada, M., 15 Jul 2019, In: Bioinformatics. 35, 14, p. i427-i435 btz333.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    54 Citations (Scopus)
    147 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    15 Citations (Scopus)
    129 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
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    4 Citations (Scopus)
    78 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 proceeding › Conference article in proceedings › Scientific › peer-review

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    7 Citations (Scopus)
    109 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access
    3 Citations (Scopus)

  • Local dimension reduction of summary statistics for likelihood-free inference

    Siren, J. & Kaski, S., 4 Oct 2019, In: STATISTICS AND COMPUTING. 12 p.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    119 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access

  • Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation

    Kangasrääsiö, A., Jokinen, J. P. P., Oulasvirta, A., Howes, A. & Kaski, S., 1 Jun 2019, In: Cognitive Science. 43, 6, 40 p., 12738.

    Research output: Contribution to journal › Article › Scientific › peer-review

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    40 Citations (Scopus)
    333 Downloads (Pure)

  • 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 proceeding › Conference article in proceedings › Scientific › peer-review

    Open Access