37 citations · 82 across the 8 of their papers we have counts for
8 papers
Imbalanced Mixed Linear Regression
Pini Zilber, Boaz Nadler
We consider the problem of mixed linear regression (MLR), where each observed sample belongs to one of unknown linear models. In practical applications, the proportions of the…
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Pini Zilber, Boaz Nadler
The inductive matrix completion (IMC) problem is to recover a low rank matrix from few observed entries while incorporating prior knowledge about its row and column subspaces. In t…
GNMR: A provable one-line algorithm for low rank matrix recovery
Pini Zilber, Boaz Nadler
Low rank matrix recovery problems, including matrix completion and matrix sensing, appear in a broad range of applications. In this work we present GNMR -- an extremely simple iter…
Rank iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries
Jonathan Bauch, Boaz Nadler, Pini Zilber
We present a new, simple and computationally efficient iterative method for low rank matrix completion. Our method is inspired by the class of factorization-type iterative algorith…
The Airy distribution: experiment, large deviations and additional statistics
Tal Agranov, Pini Zilber, Naftali R. Smith +3
The Airy distribution (AD) describes the probability distribution of the area under a Brownian excursion. The AD is prominent in several areas of physics, mathematics and computer…
Quantum tomography of photon states encoded in polarization and picosecond time-bins
Yehuda Pilnyak, Pini Zilber, Lior Cohen +1
A single photon has many physical degrees of freedom (DOF) that can carry the state of a high-dimensional quantum system. Nevertheless, only a single DOF is usually used in any spe…
A giant disparity and a dynamical phase transition in large deviations of the time-averaged size of stochastic populations
Pini Zilber, Naftali R. Smith, Baruch Meerson
We study large deviations of the time-averaged size of stochastic populations described by a continuous-time Markov jump process. When the expected population size in the stead…
Large deviations of a long-time average in the Ehrenfest Urn Model
Baruch Meerson, Pini Zilber
Since its inception in 1907, the Ehrenfest urn model (EUM) has served as a test bed of key concepts of statistical mechanics. Here we employ this model to study large deviations of…