Recently Chen and Poor initiated the study of learning mixtures of linea...
For any two point sets A,B ⊂ℝ^d of size up to n, the
Chamfer distance fr...
We consider the problem of rank-1 low-rank approximation (LRA) in the
ma...
Quantum machine learning (QML) has shown great potential to produce larg...
Linear dynamical systems are the foundational statistical model upon whi...
Kernel matrices, as well as weighted graphs represented by them, are
ubi...
We study iterative methods based on Krylov subspaces for low-rank
approx...
We consider the problem of learning a latent k-vertex simplex
K⊂ℝ^d, giv...
We give a polynomial-time algorithm for the problem of robustly estimati...
We obtain a robust and computationally efficient estimator for Linear
Re...
We study the problem of testing whether a matrix A ∈R^n ×
n with bounded...
We give the first outlier-robust efficient algorithm for clustering a mi...
We give the first efficient algorithm for the problem of list-decodable
...
Recently, Musco and Woodruff (FOCS, 2017) showed that given an n × n
pos...
We study the Maximum Independent Set problem for geometric objects given...
Consider the following fundamental learning problem: given input example...
Let P={ p_1, p_2, ... p_n } and Q = { q_1, q_2
... q_m } be two point se...
This paper presents a versatile technique for the purpose of feature
sel...