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Associate Consultant, adesso SE
1 Sept 2022 → …
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Dive into the research topics where Filip Schlembach is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Conformal multistep-ahead multivariate time-series forecasting
Schlembach, F., Smirnov, E., Koprinska, I. & Winands, M. H. M., 1 Jul 2025, In: Machine Learning. 114, 7, 51 p., 165.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Joint Validity
Schlembach, F., Smirnov, E. & Winands, M. H. M., 12 Aug 2025, Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2025. ML Research Press, Vol. 266. p. 193-213 21 p. (Proceedings of Machine Learning Research, Vol. 266).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Testing Marginal and Conditional Coverage in Conformal Prediction for Non-Stationary Time Series via Value-at-Risk Backtesting
Retzlaff, K., Schlembach, F., Bams, D. & Dreesen, P., 2025, Proceedings of the Fourteenth Symposium on Conformol and Probabilistic Prediction with Applications. Nguyen, K. A., Luo, Z., Papadopoulos, H., Löfström, T., Carlsson, L. & Boström, H. (eds.). Vol. 266. p. 725-747 23 p. (Proceedings of Machine Learning Research; No. 266).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Conformal Multistep-Ahead Multivariate Time-Series Forecasting
Schlembach, F., Smirnov, E. & Koprinska, I., 1 Jan 2022, 11th Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2022. Vol. 179. p. 316-318 3 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Conformal Multistep-Ahead Multivariate Time-Series Forecasting
Schlembach, F., Smirnov, E., Koprinska, I., Johansson, U., Bostrom, H., Nguyen, K., Luo, Z. & Carlsson, L., 2022, CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179. Johansson, U., Bostrom, H., Nguyen, K., Luo, Z. & Carlsson, L. (eds.). JMLR - Journal of Machine Learning Research , Vol. 179. 3 p. (Proceedings of Machine Learning Research, Vol. 179).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
Open AccessFile37 Downloads (Pure)