200 citations · 675 across the 45 of their papers we have counts for
3 papers · 1 filter
Trustworthy Representation Learning via Information Funnels and Bottlenecks
João Machado de Freitas, Bernhard C. Geiger
Ensuring trustworthiness in machine learning -- by balancing utility, fairness, and privacy -- remains a critical challenge, particularly in representation learning. In this work,…
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger +1
In this paper, we frame homogeneous-feature multi-task learning (MTL) as a hierarchical representation learning problem, with one task-agnostic and multiple task-specific latent re…
Information-Theoretic Reduction of Markov Chains
Bernhard C. Geiger
We survey information-theoretic approaches to the reduction of Markov chains. Our survey is structured in two parts: The first part considers Markov chain coarse graining, which fo…