Interactive machine learning from multiple biodata sources

  • Kaski, Samuel (Principal investigator)
  • Filstroff, Louis (Project Member)
  • 33 Conference article in proceedings
  • 27 Article
  • 1 Conference article
  • 1 Other contribution
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  • 2024

    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)
  • 2022

    Deconfounded Representation Similarity for Comparison of Neural Networks

    Cui, T., Kumar, Y., Marttinen, P. & Kaski, S., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 14 p. (Advances in Neural Information Processing Systems; vol. 35).

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

    Open Access

  • 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

    Open Access
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    35 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

    Open Access
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    39 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)
    57 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
    4 Citations (Scopus)

  • 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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    26 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
  • 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
    1 Citation (Scopus)

  • 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)

  • 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
    File
    8 Citations (Scopus)
    52 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

    Open Access
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    43 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)
    59 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

    Open Access
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    89 Downloads (Pure)
  • 2019

    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

  • 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
  • 2018

    Probabilistic Formulation of the Take The Best Heuristic

    Peltola, T., Jokinen, J. & Kaski, S., 2018, CogSci 2018 Proceedings . Cognitive Science Society, p. 2214-2219

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

  • User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

    Daee, P., Peltola, T., Vehtari, A. & Kaski, S., 8 Mar 2018, IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces. ACM, p. 305-310 6 p.

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

    Open Access
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    15 Citations (Scopus)
    173 Downloads (Pure)

  • Variational zero-inflated Gaussian processes with sparse kernels

    Hegde, P., Heinonen, M. & Kaski, S., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Association for Uncertainty in Artificial Intelligence, Vol. 1. p. 361-371 148

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

    Open Access
    4 Citations (Scopus)
  • 2017

    A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings

    Remes, S., Heinonen, M. & Kaski, S., Nov 2017, Proceedings of the 9th Asian Conference on Machine Learning. Zhang, M.-L. & Noh, Y.-K. (eds.). JMLR, p. 455-470 16 p. (Proceedings of Machine Learning Research; vol. 77).

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

    Open Access
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    2 Citations (Scopus)
    80 Downloads (Pure)

  • BCI for physiological text annotation

    Barral, O., Kosunen, I., Ruotsalo, T., Spapé, M. M., Eugster, M. J. A., Ravaja, N., Kaski, S. & Jacucci, G., 13 Mar 2017, BCIforReal 2017 - Proceedings of the 2017 ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, co-located with IUI 2017. ACM, p. 9-13 5 p.

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

    1 Citation (Scopus)

  • Convex factorization machine for toxicogenomics prediction

    Yamada, M., Lian, W., Goyal, A., Chen, J., Wimalawarne, K., Khan, S. A., Kaski, S., Mamitsuka, H. & Chang, Y., 13 Aug 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, p. 1215-1224 10 p.

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

    Open Access
    26 Citations (Scopus)

  • Differentially Private Bayesian Learning on Distributed Data

    Heikkilä, M. A., Lagerspetz, E., Kaski, S., Shimizu, K., Tarkoma, S. & Honkela, A., 2017, Advances in Neural Information Processing Systems 30: Proceedings of NIPS 2017. Curran Associates Inc., p. 3227-3236 10 p. (Advances in Neural Information Processing Systems; vol. 30).

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

    Open Access
    33 Citations (Scopus)

  • Inference of Strategic Behavior based on Incomplete Observation Data

    Kangasrääsiö, A. & Kaski, S., 8 Dec 2017, NIPS17 Workshop: Learning in the Presence of Strategic Behavior. Carnegie Mellon University, 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

    Open Access
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    118 Downloads (Pure)

  • Inferring Cognitive Models from Data using Approximate Bayesian Computation

    Kangasrääsiö, A., Athukorala, K., Howes, A., Corander, J., Kaski, S. & Oulasvirta, A., 9 May 2017, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, p. 1295-1306 12 p.

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

    Open Access
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    46 Citations (Scopus)
    216 Downloads (Pure)

  • Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction

    Afrabandpey, H., Peltola, T. & Kaski, S., 10 Jul 2017, Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization . Bratislava, Slovakia: ACM, p. 265-269 4 p.

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

    Open Access
    6 Citations (Scopus)

  • Modelling Human Decision-making based on Aggregate Observation Data

    Kangasrääsiö, A. & Kaski, S., 2017, Human In The Loop-ML Workshop at ICML. Sydney: Human in the Loop Machine Learning , 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

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    105 Downloads (Pure)

  • Non-Stationary Spectral Kernels

    Remes, S., Heinonen, M. & Kaski, S., 2017, Advances in Neural Information Processing Systems 30: Proceedings of NIPS2017. Curran Associates Inc., p. 4645-4654 (Advances in Neural Information Processing Systems; vol. 30).

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

    Open Access
    62 Citations (Scopus)

  • Regression with n → 1 by expert knowledge elicitation

    Soare, M., Ammad-Ud-din, M. & Kaski, S., 31 Jan 2017, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. IEEE, p. 734-739 6 p. 7838235

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

    Open Access
    3 Citations (Scopus)
  • 2016

    A Robust Convex Formulation for Ensemble Clustering

    Gao, J., Yamada, M., Kaski, S., Mamitsuka, H. & Zhu, S., Jul 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16). Kambhampati, S. (ed.). 2275 East Bayshore Road, Suite 160, Palo Alto CA 94303 USA: AAAI Press, p. 1476-1482 6 p.

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

    Open Access
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    4 Citations (Scopus)
    133 Downloads (Pure)