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20082026
most citedTheory-guided Data Science: A New Paradigm for Scientific Discovery from Data

1.7k citations · 2.4k across the 56 of their papers we have counts for

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Showing 2014Show all

11 papers · 1 filter

cs.SI2014★ 3 cited

Revisiting Non-Progressive Influence Models: Scalable Influence Maximization

Golshan Golnari, Amir Asiaee, Arindam Banerjee +1

While influence maximization in social networks has been studied extensively in computer science community for the last decade the focus has been on the progressive influence model…

math.AC2014

Properties of Lyubeznik numbers under localization and polarization

Arindam Banerjee, Luis Núñez-Betancourt, Kohji Yanagawa

We exhibit a global bound for the Lyubeznik numbers of a ring of prime characteristic. In addition, we show that for a monomial ideal, the Lyubeznik numbers of the quotient rings o…

math.AC2014

Regularity of Path Ideals of Gap Free Graphs

Arindam Banerjee

In this paper we study the Castelnuovo-Mumford regularity of the path ideals of finite simple graphs. We find new upper bounds for various path ideals of gap free graphs. In partic…

cs.LG2014★ 40 cited

Multi-task Sparse Structure Learning

Andre R. Goncalves, Puja Das, Soumyadeep Chatterjee +3

Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. While sometimes the underlying task relationship structure i…

math.AC2014

Powers of edge ideals of regularity three bipartite graphs

Ali Alilooee, Arindam Banerjee

In this paper we prove that if is a bipartite edge ideal with regularity three then for all the regularity of is exactly .

cs.LG2014★ 27 cited

Randomized Block Coordinate Descent for Online and Stochastic Optimization

Huahua Wang, Arindam Banerjee

Two types of low cost-per-iteration gradient descent methods have been extensively studied in parallel. One is online or stochastic gradient descent (OGD/SGD), and the other is ran…