1 citations · 1 across the 2 of their papers we have counts for
4 papers
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning
Peng Jiang, Gagan Agrawal
Stochastic Gradient Descent (SGD) is the key learning algorithm for many machine learning tasks. Because of its computational costs, there is a growing interest in accelerating SGD…
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Businesses communicate using Twitter for a variety of reasons -- to raise awareness of their brands, to market new products, to respond to community comments, and to connect with t…
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
This paper presents techniques to detect the "offline" activity a person is engaged in when she is tweeting (such as dining, shopping or entertainment), in order to create a dynami…
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
Ruoming Jin, Zhen Peng, Wendell Wu +3
In this paper, we study how the Pruned Landmark Labeling (PPL) algorithm can be parallelized in a scalable fashion, producing the same results as the sequential algorithm. More spe…