To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout

no code implementations • 6 Mar 2015 • Prateek Jain, Vivek Kulkarni, Abhradeep Thakurta, Oliver Williams

Moreover, using the above mentioned stability properties of dropout, we design dropout based differentially private algorithms for solving ERMs.

L2 Regularization

Real time clustering of time series using triangular potentials

no code implementations • 18 Feb 2015 • Aldo Pacchiano, Oliver Williams

Motivated by the problem of computing investment portfolio weightings we investigate various methods of clustering as alternatives to traditional mean-variance approaches.

Clustering Time Series +1

Probabilistic Inference and Differential Privacy

no code implementations • NeurIPS 2010 • Oliver Williams, Frank McSherry

We identify and investigate a strong connection between probabilistic inference and differential privacy, the latter being a recent privacy definition that permits only indirect observation of data through noisy measurement.