Interactive machine learning from multiple biodata sources

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

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  • 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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  • 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

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    4 Citations (Scopus)
    60 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

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  • 2020

    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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  • 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

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

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    15 Citations (Scopus)
    114 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

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    5 Citations (Scopus)
    64 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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    9 Citations (Scopus)
    99 Downloads (Pure)
  • 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

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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

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    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

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    2 Citations (Scopus)
    82 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

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    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
    36 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

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  • 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

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    46 Citations (Scopus)
    222 Downloads (Pure)

  • Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

    Micallef, L., Sundin, I., Marttinen, P., Ammad-Ud-Din, M., Peltola, T., Soare, M., Jacucci, G. & Kaski, S., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, p. 547-552 6 p.

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

    Open Access
    23 Citations (Scopus)

  • 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

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    6 Citations (Scopus)

  • Localized Lasso for High-Dimensional Regression

    Yamada, M., Koh, T., Iwata, T., Shawe-Taylor, J. & Kaski, S., 1 Aug 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. Singh, A. & Zhu, J. (eds.). Fort Lauderdale, FL, USA: JMLR, p. 325-333 9 p. (Proceedings of Machine Learning Research; vol. 54).

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

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  • 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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  • 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
    65 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

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    4 Citations (Scopus)
    137 Downloads (Pure)