431 citations · 1.2k across the 62 of their papers we have counts for
5 papers · 2 filters
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
Consider two data providers, each maintaining private records of different feature sets about common entities. They aim to learn a linear model jointly in a federated setting, name…
On -mixtures: Finite convex combinations of prescribed component distributions
Frank Nielsen, Richard Nock
We consider the space of -mixtures which is defined as the set of finite statistical mixtures sharing the same prescribed component distributions closed under convex combination…
f-GANs in an Information Geometric Nutshell
Richard Nock, Zac Cranko, Aditya Krishna Menon +2
Nowozin \textit{et al} showed last year how to extend the GAN \textit{principle} to all -divergences. The approach is elegant but falls short of a full description of the superv…
Evolving a Vector Space with any Generating Set
Richard Nock, Frank Nielsen
In Valiant's model of evolution, a class of representations is evolvable iff a polynomial-time process of random mutations guided by selection converges with high probability to a…
Semi-parametric Network Structure Discovery Models
Amir Dezfouli, Edwin V. Bonilla, Richard Nock
We propose a network structure discovery model for continuous observations that generalizes linear causal models by incorporating a Gaussian process (GP) prior on a network-indepen…