Nicolas Schilling

Publication Activity (10 Years)

Years Active: 2013-2018
Publications (10 Years): 19

Top Topics

Matrix Factorization

Hyperparameters

Search Space Pruning

Top Venues

Publications

Mohsan Jameel, Nicolas Schilling, Lars Schmidt-Thieme
Towards Distributed Pairwise Ranking using Implicit Feedback. SIGIR (2018)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. Mach. Learn. 107 (1) (2018)
Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
Finding Hierarchy of Topics from Twitter Data. LWDA (2017)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Automatic Frankensteining: Creating Complex Ensembles Autonomously. SDM (2017)
Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression. CIKM (2016)
Nghia Duong-Trung, Nicolas Schilling, Lucas Drumond, Lars Schmidt-Thieme
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream. LWDA (2016)
Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Learning DTW-Shapelets for Time-Series Classification. CODS (2016)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization. ECML/PKDD (1) (2016)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Hyperparameter Optimization Machines. DSAA (2016)
Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
Bank Card Usage Prediction Exploiting Geolocation Information. CoRR (2016)
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
Latent Time-Series Motifs. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts. ECML/PKDD (1) (2016)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Learning Data Set Similarities for Hyperparameter Optimization Initializations. MetaSel@PKDD/ECML (2015)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons. ICTAI (2015)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Hyperparameter Optimization with Factorized Multilayer Perceptrons. ECML/PKDD (2) (2015)
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
Optimal Time-Series Motifs. CoRR (2015)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Learning hyperparameter optimization initializations. DSAA (2015)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization. ECML/PKDD (2) (2015)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Sequential Model-Free Hyperparameter Tuning. ICDM (2015)
Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
Learning time-series shapelets. KDD (2014)
Nicolas Schilling, André Busche, Simone Miller, Michael Jungheim, Martin Ptok, Lars Schmidt-Thieme
Event Prediction in Pharyngeal High-Resolution Manometry. ECDA (2013)