Empirical observation of high dimensional phenomena, such as the double
...
Understanding generalization and estimation error of estimators for simp...
Contemporary wisdom based on empirical studies suggests that standard
re...
This paper considers the problem of neural decoding from parallel neural...
At the heart of machine learning lies the question of generalizability o...
We consider the problem of inferring the input and hidden variables of a...
Deep generative priors offer powerful models for complex-structured data...
We consider the problem of estimating the parameters of a multivariate
B...
In this paper, we propose a new joint dictionary learning method for
exa...
Approximations of loopy belief propagation, including expectation propag...