639 citations · 2.9k across the 94 of their papers we have counts for
3 papers · 2 filters
Sparse coding for multitask and transfer learning
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes
We investigate the use of sparse coding and dictionary learning in the context of multitask and transfer learning. The central assumption of our learning method is that the tasks p…
Modelling transition dynamics in MDPs with RKHS embeddings
Steffen Grunewalder, Guy Lever, Luca Baldassarre +2
We propose a new, nonparametric approach to learning and representing transition dynamics in Markov decision processes (MDPs), which can be combined easily with dynamic programming…
Conditional mean embeddings as regressors - supplementary
Steffen Grünewälder, Guy Lever, Luca Baldassarre +3
We demonstrate an equivalence between reproducing kernel Hilbert space (RKHS) embeddings of conditional distributions and vector-valued regressors. This connection introduces a nat…