Search Results for author:
Found 3 papers, 0 papers with code
On a Bernoulli Autoregression Framework for Link Discovery and Prediction
We show extensive empirical results on both actual product-usage based time dependent networks and also present results on a Reddit based data set of time dependent sentiment sequences.
On Selecting Stable Predictors in Time Series Models
We extend the feature selection methodology to dependent data and propose a novel time series predictor selection scheme that accommodates statistical dependence in a more typical i. i. d sub-sampling based framework.
Data Dependent Convergence for Distributed Stochastic Optimization
Towards establishing this data dependence we first study a distributed consensus-based SGD algorithm and show that the rate of convergence involves the spectral norm of the sample covariance matrix when the underlying data is assumed to be independent and identically distributed (homogenous).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
