Aswin Kannan

According to our database, Aswin Kannan authored at least 13 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Document structure aware Relation Extraction for Semantic Automation.

Ayush Kumar, Abhay M. Shalghar, Harsh Chauhan, Balaji Ganesan, Ritwik Chaudhuri, Aswin Kannan

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2021

Document Structure aware Relational Graph Convolutional Networks for Ontology Population.

Abhay M. Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Shobha G

CoRR, 2021

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning.

Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants.

Aswin Kannan, Uday V. Shanbhag

Comput. Optim. Appl., 2019

2018

Document Structure Measure for Hypernym discovery.

Aswin Kannan, Shanmukha C. Guttula, Balaji Ganesan, Hima P. Karanam, Arun Kumar

CoRR, 2018

Fine Grained Classification of Personal Data Entities.

Riddhiman Dasgupta, Balaji Ganesan, Aswin Kannan, Berthold Reinwald, Arun Kumar

CoRR, 2018

FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.

Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty

CoRR, 2018

2015

Distributed stochastic optimization under imperfect information.

Aswin Kannan, Angelia Nedic, Uday V. Shanbhag

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes.

Aswin Kannan, Uday V. Shanbhag

Proceedings of the American Control Conference, 2014

2013

Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis.

Aswin Kannan, Uday V. Shanbhag, Harrison M. Kim

Optim. Methods Softw., 2013

2012

Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques.

Aswin Kannan, Uday V. Shanbhag

SIAM J. Optim., 2012

2011

A game-theoretical model predictive control framework for electricity markets.

Aswin Kannan, Victor M. Zavala

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Distributed iterative regularization algorithms for monotone Nash games.

Aswin Kannan, Uday V. Shanbhag

Proceedings of the 49th IEEE Conference on Decision and Control, 2010