Nicolas Schilling

22 papers A* 3A 2B 3Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2018 — —
Bayesian Hyperparameter Optimization - Relational and Scalable Surrogate Models for Hyperparameter Optimization Across Problem Instances
Nicolas Schilling
2018 J jnl
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
Mach. Learn.
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2018 A* conf
Towards Distributed Pairwise Ranking using Implicit Feedback.
SIGIR
Mohsan Jameel, Nicolas Schilling, Lars Schmidt-Thieme
2017 A conf
Automatic Frankensteining: Creating Complex Ensembles Autonomously.
SDM
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2017 — conf
Finding Hierarchy of Topics from Twitter Data.
LWDA
Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
2016 J jnl
Bank Card Usage Prediction Exploiting Geolocation Information.
CoRR
Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
2016 B conf
Hyperparameter Optimization Machines.
DSAA
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2016 J jnl
Latent Time-Series Motifs.
ACM Trans. Knowl. Discov. Data
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
2016 — conf
Learning DTW-Shapelets for Time-Series Classification.
CODS
Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
2016 — conf
Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.
LWDA
Nghia Duong-Trung, Nicolas Schilling, Lucas Drumond, Lars Schmidt-Thieme
2016 A conf
Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression.
CIKM
Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme
2016 — conf
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.
ECML/PKDD (1)
Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
2016 — conf
Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.
ECML/PKDD (1)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2015 — conf
Hyperparameter Optimization with Factorized Multilayer Perceptrons.
ECML/PKDD (2)
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
2015 — conf
Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization.
ECML/PKDD (2)
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2015 B conf
Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.
ICTAI
Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
2015 — conf
Learning Data Set Similarities for Hyperparameter Optimization Initializations.
MetaSel@PKDD/ECML
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2015 B conf
Learning hyperparameter optimization initializations.
DSAA
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2015 J jnl
Optimal Time-Series Motifs.
CoRR
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
2015 A* conf
Sequential Model-Free Hyperparameter Tuning.
ICDM
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
2014 A* conf
Learning time-series shapelets.
KDD
Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme
2013 — conf
Event Prediction in Pharyngeal High-Resolution Manometry.
ECDA
Nicolas Schilling, André Busche, Simone Miller, Michael Jungheim, Martin Ptok, Lars Schmidt-Thieme