Research output per year
Research output per year
- 11 results
Search results
-
2024
Learning relevant contextual variables within Bayesian optimization
Martinelli, J., Bharti, A., Tiihonen, A., John, S. T., Filstroff, L., Sloman, S. J., Rinke, P. & Kaski, S., 2024, Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence. JMLR, Vol. 244. p. 2450-2470 (Proceedings of Machine Learning Research; vol. 244).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
LLaMA-Annotate—Visualizing Token-Level Confidences for LLMs
Schultheis, E. & John, S. T., 1 Sept 2024, Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Daniušis, P., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E., Puolamäki, K. & Žliobaitė, I. (eds.). Springer, p. 424-428 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14948 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Practical Equivariances via Relational Conditional Neural Processes
Huang, D., Haussmann, M., Remes, U., John, T., Clarté, G., Luck, K. S., Kaski, S. & Acerbi, L., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 38 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access2 Citations (Scopus) -
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
Hizli, C., John, T., Juuti, A., Saarinen, T., Pietiläinen, K. & Marttinen, P., 2024, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates Inc., Vol. 36. p. 58787-58820 34 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access1 Citation (Scopus) -
Thin and deep Gaussian processes
de Souza, D. A., Nikitin, A., John, T., Ross, M., Alvarez, M. A., Deisenroth, M. P., Pordeus Gomes, J. P., Parente Paiva Mesquita, D. & Mattos, C. L., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 11 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
2023
Causal Modeling of Policy Interventions From Treatment-Outcome Sequences
Hizli, C., John, S., Juuti, A., Saarinen, T., Pietiläinen, K. & Marttinen, P., 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. 13050-13084 35 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile37 Downloads (Pure) -
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
Li, R., John, S. & Solin, A., 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. 19595-19615 21 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile32 Downloads (Pure) -
Memory-Based Dual Gaussian Processes for Sequential Learning
Chang, P. E., Verma, P., John, S. T., Solin, A. & Emtiyaz Khan, M., 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. 4035-4054 20 p. (Proceedings of Machine Learning Research; vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile23 Downloads (Pure) -
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics
Odnoblyudova, A., Hizli, C., John, S., Juuti, A., Särkkä, S., Pietiläinen, K. & Marttinen, P., 4 Dec 2023, Proceedings of the 3rd Machine Learning for Health Symposium. JMLR, p. 428-444 (Proceedings of Machine Learning Research ; vol. 225).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
Queer In AI : A Case Study in Community-Led Participatory AI
Organizers Of Queer in AI, 12 Jun 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. ACM, p. 1882-1895 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access30 Citations (Scopus) -
2022
Non-separable spatio-temporal graph kernels via SPDEs
Nikitin, A., John, S., 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 proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile58 Downloads (Pure)