Nicolas Schilling

According to our database, Nicolas Schilling authored at least 22 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

Bayesian Hyperparameter Optimization - Relational and Scalable Surrogate Models for Hyperparameter Optimization Across Problem Instances

Nicolas Schilling

PhD thesis, 2018

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Mach. Learn., 2018

Towards Distributed Pairwise Ranking using Implicit Feedback.

Mohsan Jameel, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Automatic Frankensteining: Creating Complex Ensembles Autonomously.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Finding Hierarchy of Topics from Twitter Data.

Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the Lernen, 2017

2016

Latent Time-Series Motifs.

Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme

ACM Trans. Knowl. Discov. Data, 2016

Bank Card Usage Prediction Exploiting Geolocation Information.

Martin Wistuba, Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme

CoRR, 2016

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.

Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.

Nghia Duong-Trung, Nicolas Schilling, Lucas Drumond, Lars Schmidt-Thieme

Proceedings of the Conference "Lernen, 2016

Hyperparameter Optimization Machines.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Learning DTW-Shapelets for Time-Series Classification.

Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

Proceedings of the 3rd IKDD Conference on Data Science, 2016

Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression.

Nghia Duong-Trung, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Optimal Time-Series Motifs.

Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme

CoRR, 2015

Learning Data Set Similarities for Hyperparameter Optimization Initializations.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Hyperparameter Optimization with Factorized Multilayer Perceptrons.

Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.

Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Sequential Model-Free Hyperparameter Tuning.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning hyperparameter optimization initializations.

Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Learning time-series shapelets.

Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Event Prediction in Pharyngeal High-Resolution Manometry.

Nicolas Schilling, André Busche, Simone Miller, Michael Jungheim, Martin Ptok, Lars Schmidt-Thieme

Proceedings of the Data Science, 2013