Steffen Grünewälder

According to our database, Steffen Grünewälder authored at least 25 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Compressed Empirical Measures (in finite dimensions).

Steffen Grünewälder

CoRR, 2022

2021

Oblivious Data for Fairness with Kernels.

Steffen Grünewälder, Azadeh Khaleghi

J. Mach. Learn. Res., 2021

2019

Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces.

Stephen Page, Steffen Grünewälder

J. Mach. Learn. Res., 2019

Approximations of the Restless Bandit Problem.

Steffen Grünewälder, Azadeh Khaleghi

J. Mach. Learn. Res., 2019

Recovering Bandits.

Ciara Pike-Burke, Steffen Grünewälder

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Bandits with Delayed, Aggregated Anonymous Feedback.

Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder

Proceedings of the 35th International Conference on Machine Learning, 2018

Plug-in Estimators for Conditional Expectations and Probabilities.

Steffen Grünewälder

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Compact Convex Projections.

Steffen Grünewälder

J. Mach. Learn. Res., 2017

Bandits with Delayed Anonymous Feedback.

Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder

CoRR, 2017

Optimistic Planning for the Stochastic Knapsack Problem.

Ciara Pike-Burke, Steffen Grünewälder

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2013

Construction of approximation spaces for reinforcement learning.

Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer

J. Mach. Learn. Res., 2013

Smooth Operators.

Steffen Grünewälder, Arthur Gretton, John Shawe-Taylor

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis.

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer

Mach. Learn., 2012

Conditional mean embeddings as regressors - supplementary

Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil

CoRR, 2012

Conditional mean embeddings as regressors.

Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil

Proceedings of the 29th International Conference on Machine Learning, 2012

Modelling transition dynamics in MDPs with RKHS embeddings.

Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

The optimal unbiased value estimator and its relation to LSTD, TD and MC.

Steffen Grünewälder, Klaus Obermayer

Mach. Learn., 2011

A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces

Yun Shen, Steffen Grünewälder, Klaus Obermayer

CoRR, 2011

Regularized Sparse Kernel Slow Feature Analysis.

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Regret Bounds for Gaussian Process Bandit Problems.

Steffen Grünewälder, Jean-Yves Audibert, Manfred Opper, John Shawe-Taylor

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009

Application of statistical estimation theory, adaptive sensory systems and time series processing to reinforcement learning.

Steffen Grünewälder

PhD thesis, 2009

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation.

Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer

PLoS Comput. Biol., 2009

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies.

Arno Onken, Steffen Grünewälder, Klaus Obermayer

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex.

Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Optimality of LSTD and its Relation to MC.

Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer

Proceedings of the International Joint Conference on Neural Networks, 2007