Knowing the features of a complex system that are highly relevant to a
p...
We study the problem of diffusion-based network learning of a nonlinear
...
Robots have been increasingly better at doing tasks for humans by learni...
The contribution of this paper is a generalized formulation of correctio...
Parameter estimation in statistics and system identification relies on d...
One of the most important problems in system identification and statisti...
A classical learning setting is one in which a student collects data, or...
We study the problem of regret minimization in a multi-armed bandit setu...
In this paper, we study non-asymptotic deviation bounds of the least squ...
We address the new problem of estimating a piece-wise constant signal wi...
We consider a finite impulse response system with centered independent
s...
In this paper, we study finite-sample properties of the least squares
es...
We develop latent variable models for Bayesian learning based low-rank m...
In this paper we study the estimation of changing trends in time-series ...
This paper concerns model reduction of dynamical systems using the nucle...
In this paper we analyze the asymptotic properties of l1 penalized maxim...
In this article, we analyze the SPICE method developed in [1], and estab...
This paper addresses the problem of segmenting a time-series with respec...