Olivier Sprangers

11 papers A* 2A 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values.
RecSys
Barrie Kersbergen, Olivier Sprangers, Bojan Karlas, Maarten de Rijke, Sebastian Schelter
2024 J jnl
Domain Generalization in Time Series Forecasting.
ACM Trans. Knowl. Discov. Data
Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke
2024 A* conf
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale.
ICDE
Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter
2023 J jnl
Hierarchical Forecasting at Scale.
CoRR
Olivier Sprangers, Wander Wadman, Sebastian Schelter, Maarten de Rijke
2022 A conf
Screening Native Machine Learning Pipelines with ArgusEyes.
CIDR
Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang
2022 — conf
Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale.
SIGMOD Conference
Barrie Kersbergen, Olivier Sprangers, Sebastian Schelter
2021 J jnl
Parameter Efficient Deep Probabilistic Forecasting.
CoRR
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
2021 A* conf
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression.
KDD
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
2021 J jnl
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression.
CoRR
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
2015 J jnl
Reinforcement Learning for Port-Hamiltonian Systems.
IEEE Trans. Cybern.
Olivier Sprangers, Robert Babuska, Subramanya Nageshrao, Gabriel A. D. Lopes
2012 J jnl
Energy-balancing passivity-based control through reinforcement learning
CoRR
Olivier Sprangers, Gabriel A. D. Lopes, Robert Babuska