The Alan Turing Institute

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20132026

most citedPrinciples alone cannot guarantee ethical AI

1.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

Showing 2019 · stat.MLShow all

5 papers · 2 filters

stat.ML2019★ 1 cited

Private Protocols for U-Statistics in the Local Model and Beyond

James Bell, Aurélien Bellet, Adrià Gascón +1

In this paper, we study the problem of computing $U$ -statistics of degree $2$ , i.e., quantities that come in the form of averages over pairs of data points, in the local model of d…

stat.ML2019★ 17 cited

Ranking and synchronization from pairwise measurements via SVD

Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi

Given a measurement graph $G = (V, E)$ and an unknown signal $r \in R^{n}$ , we investigate algorithms for recovering $r$ from pairwise measurements of the form $r_{i} - r_{j}$ ; $\…

stat.ML2019★ 2 cited

The Extended Dawid-Skene Model: Fusing Information from Multiple Data Schemas

Michael P. J. Camilleri, Christopher K. I. Williams

While label fusion from multiple noisy annotations is a well understood concept in data wrangling (tackled for example by the Dawid-Skene (DS) model), we consider the extended prob…

stat.ML2019★ 231 cited

A Review of Stochastic Block Models and Extensions for Graph Clustering

Clement Lee, Darren J Wilkinson

There have been rapid developments in model-based clustering of graphs, also known as block modelling, over the last ten years or so. We review different approaches and extensions…

stat.ML2019

Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

Matthew Willetts, Stephen J Roberts, Christopher C Holmes

In semi-supervised learning for classification, it is assumed that every ground truth class of data is present in the small labelled dataset. Many real-world sparsely-labelled data…