73 citations · 97 across the 5 of their papers we have counts for
5 papers
Optimal Sampling Density for Nonparametric Regression
Danny Panknin, Klaus Robert Müller, Shinichi Nakajima
We propose a novel active learning strategy for regression, which is model-agnostic, robust against model mismatch, and interpretable. Assuming that a small number of initial sampl…
Local Function Complexity for Active Learning via Mixture of Gaussian Processes
Danny Panknin, Stefan Chmiela, Klaus-Robert Müller +1
Inhomogeneities in real-world data, e.g., due to changes in the observation noise level or variations in the structural complexity of the source function, pose a unique set of chal…
Sharing Hash Codes for Multiple Purposes
Wikor Pronobis, Danny Panknin, Johannes Kirschnick +6
Locality sensitive hashing (LSH) is a powerful tool for sublinear-time approximate nearest neighbor search, and a variety of hashing schemes have been proposed for different dissim…
Validity of time reversal for testing Granger causality
Irene Winkler, Danny Panknin, Daniel Bartz +2
Inferring causal interactions from observed data is a challenging problem, especially in the presence of measurement noise. To alleviate the problem of spurious causality, Haufe et…
Fast Cross-Validation via Sequential Testing
Tammo Krueger, Danny Panknin, Mikio Braun
With the increasing size of today's data sets, finding the right parameter configuration in model selection via cross-validation can be an extremely time-consuming task. In this pa…