Event Prediction in Pharyngeal High-Resolution Manometry. - Nicolas Schilling; André Busche; Simone Miller; Michael Jungheim; Martin Ptok; Lars Schmidt-Thieme (ECDA, 2013)

Learning time-series shapelets. - Josif Grabocka; Nicolas Schilling; Martin Wistuba; Lars Schmidt-Thieme (KDD, 2014)

Learning hyperparameter optimization initializations. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (DSAA, 2015)

Sequential Model-Free Hyperparameter Tuning. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (ICDM, 2015)

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons. - Nicolas Schilling; Martin Wistuba; Lucas Drumond; Lars Schmidt-Thieme (ICTAI, 2015)

Hyperparameter Optimization with Factorized Multilayer Perceptrons. - Nicolas Schilling; Martin Wistuba; Lucas Drumond; Lars Schmidt-Thieme (ECML/PKDD (2), 2015)

Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (ECML/PKDD (2), 2015)

Learning Data Set Similarities for Hyperparameter Optimization Initializations. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (MetaSel@PKDD/ECML, 2015)

Optimal Time-Series Motifs. - Josif Grabocka; Nicolas Schilling; Lars Schmidt-Thieme (CoRR, 2015)

Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression. - Nghia Duong-Trung; Nicolas Schilling; Lars Schmidt-Thieme (CIKM, 2016)

Learning DTW-Shapelets for Time-Series Classification. - Mit Shah; Josif Grabocka; Nicolas Schilling; Martin Wistuba; Lars Schmidt-Thieme (CODS, 2016)

Hyperparameter Optimization Machines. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (DSAA, 2016)

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream. - Nghia Duong-Trung; Nicolas Schilling; Lucas Drumond; Lars Schmidt-Thieme (LWDA, 2016)

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts. - Nicolas Schilling; Martin Wistuba; Lars Schmidt-Thieme (ECML/PKDD (1), 2016)

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (ECML/PKDD (1), 2016)

Bank Card Usage Prediction Exploiting Geolocation Information. - Martin Wistuba; Nghia Duong-Trung; Nicolas Schilling; Lars Schmidt-Thieme (CoRR, 2016)

Latent Time-Series Motifs. - Josif Grabocka; Nicolas Schilling; Lars Schmidt-Thieme (ACM Trans. Knowl. Discov. Data, 2016)

Finding Hierarchy of Topics from Twitter Data. - Nghia Duong-Trung; Nicolas Schilling; Lars Schmidt-Thieme (LWDA, 2017)

Automatic Frankensteining: Creating Complex Ensembles Autonomously. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (SDM, 2017)

Towards Distributed Pairwise Ranking using Implicit Feedback. - Mohsan Jameel; Nicolas Schilling; Lars Schmidt-Thieme (SIGIR, 2018)

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. - Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme (Mach. Learn., 2018)

Bayesian Hyperparameter Optimization - Relational and Scalable Surrogate Models for Hyperparameter Optimization Across Problem Instances - Nicolas Schilling (2018)