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2020 – today
- 2024
[j2]Songgaojun Deng
, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke:
Domain Generalization in Time Series Forecasting. ACM Trans. Knowl. Discov. Data 18(5): 113:1-113:24 (2024)- [c4]Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter:
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. ICDE 2024: 5177-5183 - 2023
- [i4]Olivier Sprangers, Wander Wadman, Sebastian Schelter, Maarten de Rijke:
Hierarchical Forecasting at Scale. CoRR abs/2310.12809 (2023) - 2022
- [c3]Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang:
Screening Native Machine Learning Pipelines with ArgusEyes. CIDR 2022 - [c2]Barrie Kersbergen, Olivier Sprangers, Sebastian Schelter:
Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale. SIGMOD Conference 2022: 150-159 - [d1]Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang:
schelterlabs/arguseyes. Zenodo, 2022
- 2021
- [c1]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. KDD 2021: 1510-1520 - [i3]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. CoRR abs/2106.01682 (2021) - [i2]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Parameter Efficient Deep Probabilistic Forecasting. CoRR abs/2112.02905 (2021)
2010 – 2019
- 2015
- [j1]Olivier Sprangers, Robert Babuska, Subramanya Nageshrao, Gabriel A. D. Lopes:
Reinforcement Learning for Port-Hamiltonian Systems. IEEE Trans. Cybern. 45(5): 1003-1013 (2015) - 2012
- [i1]Olivier Sprangers, Gabriel A. D. Lopes, Robert Babuska:
Energy-balancing passivity-based control through reinforcement learning. CoRR abs/1212.5524 (2012)
Coauthor Index
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