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Steffen Grünewälder
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10
Compressed Empirical Measures (in finite dimensions)
27 August 2024 by
Steffen Grünewälder
Machine Learning
,
Statistics Theory
Estimating the Mixing Coefficients of Geometrically Ergodic Markov Processes
11 February 2024 by
Steffen Grünewälder
and
Azadeh Khaleghi
Statistics Theory
,
Machine Learning
The Goldenshluger-Lepski Method for Constrained Least-Squares Estimators over RKHSs
10 December 2020 by
Stephen Page
and
Steffen Grünewälder
Statistics Theory
Oblivious Data for Fairness with Kernels
19 November 2020 by
Steffen Grünewälder
and
Azadeh Khaleghi
Machine Learning
,
Statistics Theory
Recovering Bandits
31 October 2019 by
Ciara Pike-Burke
and
Steffen Grünewälder
Machine Learning
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces
21 November 2017 by
Stephen Page
and
Steffen Grünewälder
Statistics Theory
Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions
18 October 2012 by
Steffen Grünewälder
and
others
Machine Learning
Conditional mean embeddings as regressors - supplementary
24 July 2012 by
Steffen Grünewälder
and
others
Machine Learning
A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces
31 October 2011 by
Yun Shen
and
others
Optimization and Control
,
Computational Engineering, Finance, and Science
The Optimal Unbiased Value Estimator and its Relation to LSTD, TD and MC
24 August 2009 by
Steffen Grünewälder
and
Klaus Obermayer
Machine Learning
,
Statistics Theory
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Key points
Topics
Machine Learning
Statistics Theory
Optimization and Control
Computational Engineering, Finance, and Science
Dynamical Systems
