Aswin Kannan

15 papers C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
On solving nonsmooth retail portfolio maximization problems using active signature methods.
Comput. Manag. Sci.
Aswin Kannan, Timo Kreimeier, Andrea Walther
2024 — conf
Algorithm Switching for Multiobjective Predictions in Renewable Energy Markets.
LION
Zijun Li, Aswin Kannan
2024 — conf
Document structure aware Relation Extraction for Semantic Automation.
COMAD/CODS
Ayush Kumar, Abhay M. Shalghar, Harsh Chauhan, Balaji Ganesan, Ritwik Chaudhuri, Aswin Kannan
2021 J jnl
Document Structure aware Relational Graph Convolutional Networks for Ontology Population.
CoRR
Abhay M. Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Shobha G
2021 — conf
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning.
IEEE BigData
Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal
2019 J jnl
Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants.
Comput. Optim. Appl.
Aswin Kannan, Uday V. Shanbhag
2018 J jnl
Document Structure Measure for Hypernym discovery.
CoRR
Aswin Kannan, Shanmukha C. Guttula, Balaji Ganesan, Hima P. Karanam, Arun Kumar
2018 J jnl
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.
CoRR
Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty
2018 J jnl
Fine Grained Classification of Personal Data Entities.
CoRR
Riddhiman Dasgupta, Balaji Ganesan, Aswin Kannan, Berthold Reinwald, Arun Kumar
2015 — conf
Distributed stochastic optimization under imperfect information.
CDC
Aswin Kannan, Angelia Nedic, Uday V. Shanbhag
2014 C conf
The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes.
ACC
Aswin Kannan, Uday V. Shanbhag
2013 J jnl
Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis.
Optim. Methods Softw.
Aswin Kannan, Uday V. Shanbhag, Harrison M. Kim
2012 J jnl
Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques.
SIAM J. Optim.
Aswin Kannan, Uday V. Shanbhag
2011 — conf
A game-theoretical model predictive control framework for electricity markets.
Allerton
Aswin Kannan, Victor M. Zavala
2010 — conf
Distributed iterative regularization algorithms for monotone Nash games.
CDC
Aswin Kannan, Uday V. Shanbhag