971 citations · 3k across the 74 of their papers we have counts for
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stat.ML2019★ 12 cited
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls +1
Current adoption of machine learning in industrial, societal and economical activities has raised concerns about the fairness, equity and ethics of automated decisions. Predictive…
stat.ML2019★ 9 cited
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
Jean-Francois Ton, Lucian Chan, Yee Whye Teh +1
Current meta-learning approaches focus on learning functional representations of relationships between variables, i.e. on estimating conditional expectations in regression. In many…