Steffen Grünewälder

ORCID

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 13

Top Venues

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Steffen Grünewälder
Compressed Empirical Measures (in finite dimensions). CoRR (2022)
Steffen Grünewälder, Azadeh Khaleghi
Oblivious Data for Fairness with Kernels. J. Mach. Learn. Res. 22 (2021)
Steffen Grünewälder, Azadeh Khaleghi
Oblivious Data for Fairness with Kernels. CoRR (2020)
Steffen Grünewälder, Azadeh Khaleghi
Approximations of the Restless Bandit Problem. J. Mach. Learn. Res. 20 (2019)
Ciara Pike-Burke, Steffen Grünewälder
Recovering Bandits. NeurIPS (2019)
Ciara Pike-Burke, Steffen Grünewälder
Recovering Bandits. CoRR (2019)
Stephen Page, Steffen Grünewälder
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces. J. Mach. Learn. Res. 20 (2019)
Steffen Grünewälder
Plug-in Estimators for Conditional Expectations and Probabilities. AISTATS (2018)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed, Aggregated Anonymous Feedback. ICML (2018)
Steffen Grünewälder
Compact Convex Projections. J. Mach. Learn. Res. 18 (2017)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed Anonymous Feedback. CoRR (2017)
Ciara Pike-Burke, Steffen Grünewälder
Optimistic Planning for the Stochastic Knapsack Problem. AISTATS (2017)
Steffen Grünewälder, Azadeh Khaleghi
Approximations of the Restless Bandit Problem. CoRR (2017)
Steffen Grünewälder, Arthur Gretton, John Shawe-Taylor
Smooth Operators. ICML (3) (2013)
Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer
Construction of approximation spaces for reinforcement learning. J. Mach. Learn. Res. 14 (1) (2013)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil
Conditional mean embeddings as regressors - supplementary CoRR (2012)
Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Mach. Learn. 89 (1-2) (2012)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
Modelling transition dynamics in MDPs with RKHS embeddings CoRR (2012)
Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton
Modelling transition dynamics in MDPs with RKHS embeddings. ICML (2012)
Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil
Conditional mean embeddings as regressors. ICML (2012)
Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer
Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) (2011)
Steffen Grünewälder, Klaus Obermayer
The optimal unbiased value estimator and its relation to LSTD, TD and MC. Mach. Learn. 83 (3) (2011)
Yun Shen, Steffen Grünewälder, Klaus Obermayer
A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces CoRR (2011)
Steffen Grünewälder, Jean-Yves Audibert, Manfred Opper, John Shawe-Taylor
Regret Bounds for Gaussian Process Bandit Problems. AISTATS (2010)
Arno Onken, Steffen Grünewälder, Klaus Obermayer
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. NIPS (2009)
Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer
Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation. PLoS Comput. Biol. 5 (11) (2009)
Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. NIPS (2008)
Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer
Optimality of LSTD and its Relation to MC. IJCNN (2007)

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Publication Activity (10 Years)

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Steffen Grünewälder