Samuel Kaski
1993 …2024

Research activity per year

Filter
Conference article in proceedings

Search results

  • 2024

    Estimating treatment effects from single-arm trials via latent-variable modeling

    Haussmann, M., Le, T. M. S., Halla-aho, V., Kurki, S., Leinonen, J., Koskinen, M., Kaski, S. & Lähdesmäki, H., 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics . JMLR, Vol. 238. p. 2926-2934 (Proceedings of Machine Learning Research; vol. 238).

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

    Open Access
  • Input-gradient space particle inference for neural network ensembles

    Trinh, T., Heinonen, M., Acerbi, L. & Kaski, S., 2024, (Accepted/In press) The Twelfth International Conference on Learning Representations.

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

    Open Access
    File
    19 Downloads (Pure)
  • 2023

    Characterizing personalized effects of family information on disease risk using graph representation learning

    Wharrie, S., Yang, Z., Ganna, A. & Kaski, S., 2023, Proceedings of the 8th Machine Learning for Healthcare Conference. Deshpande, K., Fiterau, M., Joshi, S., Lipton, Z., Ranganath, R., Urteaga, I. & Yeung, S. (eds.). JMLR, p. 824-845 (Proceedings of Machine Learning Research; vol. 219).

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

    Open Access
  • Compositional Sculpting of Iterative Generative Processes

    Garipov, T., De Peuter, S., Yang, G., Garg, V., Kaski, S. & Jaakkola, T., 2023, (Accepted/In press) Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

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

    Open Access
  • Cooperative Bayesian Optimization for Imperfect Agents

    Khoshvishkaie, A., Mikkola, P., Murena, P. A. & Kaski, S., Sept 2023, Machine Learning and Knowledge Discovery in Databases : Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer, p. 475-490 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14169 LNAI).

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

    Open Access
    1 Citation (Scopus)
  • Differentiable user models

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

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

    Open Access
    File
    40 Downloads (Pure)
  • Imitation-guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations

    Zhu, S., Kaushik, R., Kaski, S. & Kyrki, V., 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 1675-1682 8 p. (Proceedings of the IEEE/RSJ international conference on intelligent robots and systems).

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

    Open Access
    File
    42 Downloads (Pure)
  • 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 . JMLR, p. 7425-7454 (Proceedings of Machine Learning Research; vol. 206).

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

    Open Access
    File
    37 Downloads (Pure)
  • Noise-Aware Statistical Inference with Differentially Private Synthetic Data

    Räisä, O., Jälkö, J., Kaski, S. & Honkela, A., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J-W. (eds.). JMLR, p. 3620-3643 (Proceedings of Machine Learning Research; vol. 206).

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

    Open Access
    File
    40 Downloads (Pure)
  • 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. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR, p. 2289-2312 24 p. (Proceedings of Machine Learning Research; vol. 202).

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

    Open Access
    File
    38 Downloads (Pure)
  • 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

  • Zero-Shot Assistance in Sequential Decision Problems

    De Peuter, S. & Kaski, S., 27 Jun 2023, AAAI-23 Technical Tracks 10 . Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 11551-11559 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 10).

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

    Open Access
  • 2022

    Approximate Bayesian Computation with Domain Expert in the Loop

    Bharti, A., Filstroff, L. & Kaski, S., 2022, Proceedings of the 39th International Conference on Machine Learning. JMLR, p. 1893-1905 (Proceedings of Machine Learning Research; vol. 162).

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

    Open Access
    File
    42 Downloads (Pure)
  • Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs

    Çelikok, M. M., Oliehoek, F. A. & Kaski, S., 2022, International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 235-243 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 1).

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

    Open Access
    2 Citations (Scopus)
  • 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 proceedingConference article in proceedingsScientificpeer-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., 27 Apr 2022, CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. ACM, 4 p. 208. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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. ACM, p. 3682–3690

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

    Open Access
    2 Citations (Scopus)
  • Modular Flows: Differential Molecular Generation

    Verma, Y., Kaski, S., Heinonen, M. & Garg, V., 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, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

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

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

    Nikitin, A., John, ST., Solin, A. & Kaski, S., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 10640-10660 (Proceedings of Machine Learning Research; vol. 151).

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

    Open Access
    File
    51 Downloads (Pure)
  • Parallel MCMC Without Embarrassing Failures

    Augusto de Souza, D., Parente Paiva Mesquita, D., Kaski, S. & Acerbi, L., 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. JMLR, p. 1786-1804 (Proceedings of Machine Learning Research; vol. 151).

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

    Open Access
    File
    37 Downloads (Pure)
  • Provably expressive temporal graph networks

    Souza, A. H., Mesquita, D., Kaski, S. & Garg, V., 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, 13 p. (Advances in Neural Information Processing Systems; vol. 35).

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

    Open Access
    File
    39 Downloads (Pure)
  • Variational multiple shooting for Bayesian ODEs with Gaussian processes

    Hedge, P., Yildiz, C., Lähdesmäki, H., Kaski, S. & Heinonen, M., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR. JMLR, p. 790-799 (Proceedings of Machine Learning Research ; vol. 180).

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

    Open Access
    File
    1 Citation (Scopus)
    53 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
    File
    41 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 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

    Open Access
    File
    2 Citations (Scopus)
    48 Downloads (Pure)
  • Differentially Private Bayesian Inference for Generalized Linear Models

    Kulkarni, T., Jälkö, J., Koskela, A., Kaski, S. & Honkela, A., 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). JMLR, p. 5838-5849 12 p. (Proceedings of Machine Learning Research ; vol. 139).

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

    Open Access
    File
    34 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

    Open Access
    File
    38 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 proceedingConference article in proceedingsScientificpeer-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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Deep Convolutional Gaussian Processes

    Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 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, 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/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    26 Citations (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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    5 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
    File
    8 Citations (Scopus)
    48 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
    File
    47 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    52 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

    Open Access
    File
    90 Downloads (Pure)
  • Scalable Probabilistic Matrix Factorization with Graph-­Based Priors

    Strahl, J., Peltonen, J., Mamitsuka, H. & Kaski, S., 3 Apr 2020, Proceedings of AAAI-20, AAAI Conference on Artificial Intelligence. AAAI Press, p. 5851-5858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).

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

    Open Access
  • 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
    File
    80 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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    15 Citations (Scopus)
    108 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
    File
    3 Citations (Scopus)
    56 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
    File
    7 Citations (Scopus)
    92 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)
  • Learning Image Relations with Contrast Association Networks

    Lu, Y., Yang, Z., Kannala, J. & Kaski, S., 1 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. IEEE, 7 p. 8852344. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

    Open Access
    1 Citation (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
  • 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 proceedingConference article in proceedingsScientificpeer-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 proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    15 Citations (Scopus)
    168 Downloads (Pure)
Your message has successfully been sent.
Your message was not sent due to an error.