234 citations · 548 across the 25 of their papers we have counts for
4 papers · 1 filter
Slow Kill for Big Data Learning
Yiyuan She, Jianhui Shen, Adrian Barbu
Big-data applications often involve a vast number of observations and features, creating new challenges for variable selection and parameter estimation. This paper presents a novel…
Training a Two Layer ReLU Network Analytically
Adrian Barbu
Neural networks are usually trained with different variants of gradient descent based optimization algorithms such as stochastic gradient descent or the Adam optimizer. Recent theo…
Feature Selection with Annealing for Forecasting Financial Time Series
Hakan Pabuccu, Adrian Barbu
Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest improvement to their buy or hold strategies so that they may…
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers
Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
Clustering is a widely used technique with a long and rich history in a variety of areas. However, most existing algorithms do not scale well to large datasets, or are missing theo…