11 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.LG2019
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection
Ece Calikus, Slawomir Nowaczyk, Anita Sant'Anna +1
In recent years, there has been increased research interest in detecting anomalies in temporal streaming data. A variety of algorithms have been developed in the data mining commun…
stat.ML2019★ 11 cited
Differentially Private Markov Chain Monte Carlo
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen +1
Recent developments in differentially private (DP) machine learning and DP Bayesian learning have enabled learning under strong privacy guarantees for the training data subjects. I…
cs.LG2015★ 1 cited
Learning Mixtures of Ising Models using Pseudolikelihood
Onur Dikmen
Maximum pseudolikelihood method has been among the most important methods for learning parameters of statistical physics models, such as Ising models. In this paper, we study how p…