16 citations · 62 across the 29 of their papers we have counts for
4 papers · 1 filter
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Ainesh Bakshi, Allen Liu, Ankur Moitra +1
Recently Chen and Poor initiated the study of learning mixtures of linear dynamical systems. While linear dynamical systems already have wide-ranging applications in modeling time-…
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi, Piotr Indyk, Praneeth Kacham +2
Kernel matrices, as well as weighted graphs represented by them, are ubiquitous objects in machine learning, statistics and other related fields. The main drawback of using kernel…
Learning a Latent Simplex in Input-Sparsity Time
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan +2
We consider the problem of learning a latent -vertex simplex , given access to , which can be viewed as a data matrix with …
A Novel Feature Selection and Extraction Technique for Classification
Kratarth Goel, Raunaq Vohra, Ainesh Bakshi
This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs). We use CDFs to improve the accuracy of classificati…