2 citations · 2 across the 4 of their papers we have counts for
5 papers
Dimension Free Generalization Bounds for Non Linear Metric Learning
Mark Kozdoba, Shie Mannor
In this work we study generalization guarantees for the metric learning problem, where the metric is induced by a neural network type embedding of the data. Specifically, we provid…
Topic Modeling via Full Dependence Mixtures
Dan Fisher, Mark Kozdoba, Shie Mannor
In this paper we introduce a new approach to topic modelling that scales to large datasets by using a compact representation of the data and by leveraging the GPU architecture. In…
Multi Instance Learning For Unbalanced Data
Mark Kozdoba, Edward Moroshko, Lior Shani +4
In the context of Multi Instance Learning, we analyze the Single Instance (SI) learning objective. We show that when the data is unbalanced and the family of classifiers is suffici…
Overlapping Community Detection by Online Cluster Aggregation
Mark Kozdoba, Shie Mannor
We present a new online algorithm for detecting overlapping communities. The main ingredients are a modification of an online k-means algorithm and a new approach to modelling over…
On Projections of Metric Spaces
Mark Kozdoba
Let be a metric space and let be a probability measure on it. Consider a Lipschitz map $T: X \rightarrow \Rn$, with Lipschitz constant . Then one can ask whether th…