Nickisch, Hannes

17 publications

JMLR 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson

ICML 2018 State Space Gaussian Processes with Non-Gaussian Likelihood Hannes Nickisch, Arno Solin, Alexander Grigorevskiy

NeurIPS 2017 Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong, David Eriksson, Hannes Nickisch, David Bindel, Andrew G Wilson

AISTATS 2016 Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing

ICML 2015 Fast Kronecker Inference in Gaussian Processes with Non-Gaussian Likelihoods Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch, Alex Smola

ICML 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) Andrew Wilson, Hannes Nickisch

MLJ 2012 Generating Feature Spaces for Linear Algorithms with Regularized Sparse Kernel Slow Feature Analysis Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer

MLOSS 2012 Glm-Ie: Generalised Linear Models Inference & Estimation Toolbox Hannes Nickisch

NeurIPS 2011 Additive Gaussian Processes David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen

AISTATS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference Matthias Seeger, Hannes Nickisch

ECML-PKDD 2011 Regularized Sparse Kernel Slow Feature Analysis Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer

MLOSS 2010 Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen, Hannes Nickisch

ICML 2009 Convex Variational Bayesian Inference for Large Scale Generalized Linear Models Hannes Nickisch, Matthias W. Seeger

CVPR 2009 Learning to Detect Unseen Object Classes by Between-Class Attribute Transfer Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling

JMLR 2008 Approximations for Binary Gaussian Process Classification Hannes Nickisch, Carl Edward Rasmussen

NeurIPS 2008 Bayesian Experimental Design of Magnetic Resonance Imaging Sequences Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf, Matthias Seeger

ICML 2008 Compressed Sensing and Bayesian Experimental Design Matthias W. Seeger, Hannes Nickisch