19 citations · 50 across the 10 of their papers we have counts for
4 papers · 1 filter
Probabilistic Robust Autoencoders for Outlier Detection
Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger
Anomalies (or outliers) are prevalent in real-world empirical observations and potentially mask important underlying structures. Accurate identification of anomalous samples is cru…
Convergence rates of vector-valued local polynomial regression
Yariv Aizenbud, Barak Sober
Non-parametric estimation of functions as well as their derivatives by means of local-polynomial regression is a subject that was studied in the literature since the late 1970's. G…
Non-Parametric Estimation of Manifolds from Noisy Data
Yariv Aizenbud, Barak Sober
A common observation in data-driven applications is that high dimensional data has a low intrinsic dimension, at least locally. In this work, we consider the problem of estimating…
Spectral Top-Down Recovery of Latent Tree Models
Yariv Aizenbud, Ariel Jaffe, Meng Wang +5
Modeling the distribution of high dimensional data by a latent tree graphical model is a prevalent approach in multiple scientific domains. A common task is to infer the underlying…