Olivier Sprangers

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 8

Top Topics

Kernel Ridge Regression

Elman Neural Network

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

ACM Trans. Knowl. Discov. Data

Publications

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)
Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke
Domain Generalization in Time Series Forecasting. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Olivier Sprangers, Wander Wadman, Sebastian Schelter, Maarten de Rijke
Hierarchical Forecasting at Scale. CoRR (2023)
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang
Screening Native Machine Learning Pipelines with ArgusEyes. CIDR (2022)
Barrie Kersbergen, Olivier Sprangers, Sebastian Schelter
Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale. SIGMOD Conference (2022)
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. CoRR (2021)
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. KDD (2021)
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
Parameter Efficient Deep Probabilistic Forecasting. CoRR (2021)
Olivier Sprangers, Robert Babuska, Subramanya P. Nageshrao, Gabriel A. D. Lopes
Reinforcement Learning for Port-Hamiltonian Systems. IEEE Trans. Cybern. 45 (5) (2015)
Olivier Sprangers, Gabriel A. D. Lopes, Robert Babuska
Energy-balancing passivity-based control through reinforcement learning CoRR (2012)