19 citations · 69 across the 35 of their papers we have counts for
5 papers · 1 filter
Solution Path of Time-varying Markov Random Fields with Discrete Regularization
Salar Fattahi, Andres Gomez
We study the problem of inferring sparse time-varying Markov random fields (MRFs) with different discrete and temporal regularizations on the parameters. Due to the intractability…
Personalized Dictionary Learning for Heterogeneous Datasets
Geyu Liang, Naichen Shi, Raed Al Kontar +1
We introduce a relevant yet challenging problem named Personalized Dictionary Learning (PerDL), where the goal is to learn sparse linear representations from heterogeneous datasets…
Heterogeneous Matrix Factorization: When Features Differ by Datasets
Naichen Shi, Raed Al Kontar, Salar Fattahi
In myriad statistical applications, data are collected from related but heterogeneous sources. These sources share some commonalities while containing idiosyncratic characteristics…
Sparse Mean Estimation in Adversarial Settings via Incremental Learning
Jianhao Ma, Rui Ray Chen, Yinghui He +2
In this paper, we study the problem of sparse mean estimation under adversarial corruptions, where the goal is to estimate the -sparse mean of a heavy-tailed distribution from s…
Can Learning Be Explained By Local Optimality In Robust Low-rank Matrix Recovery?
Jianhao Ma, Salar Fattahi
We explore the local landscape of low-rank matrix recovery, focusing on reconstructing a matrix with rank from linear measurements, some potential…