1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2020
Oblivious Data for Fairness with Kernels
Steffen Grünewälder, Azadeh Khaleghi
We investigate the problem of algorithmic fairness in the case where sensitive and non-sensitive features are available and one aims to generate new, `oblivious', features that clo…
stat.ML2019★ 1 cited
Recovering Bandits
Ciara Pike-Burke, Steffen Grünewälder
We study the recovering bandits problem, a variant of the stochastic multi-armed bandit problem where the expected reward of each arm varies according to some unknown function of t…
stat.ML2009
The Optimal Unbiased Value Estimator and its Relation to LSTD, TD and MC
Steffen Grünewälder, Klaus Obermayer
In this analytical study we derive the optimal unbiased value estimator (MVU) and compare its statistical risk to three well known value estimators: Temporal Difference learning (T…