60 citations · 80 across the 8 of their papers we have counts for
10 papers
Enhancing Model Based Derivative Free Optimization using Direct Search
Zijun Li, Aswin Kannan
We consider single and multiobjective simulation-based optimization problems. Simulation-based optimization has traditionally used both model-based and search-based methods, often…
Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
Zijun Li, Aswin Kannan
We consider joint optimization and learning problems arising in real-time decision systems. While most existing work focuses primarily on convex, revenue-based objectives, we exten…
A Cournot-Nash Model for a Coupled Hydrogen and Electricity Market
Pavel Dvurechensky, Caroline Geiersbach, Michael Hintermüller +3
We present a novel model of a coupled hydrogen and electricity market on the intraday time scale, where hydrogen gas is used as a storage device for the electric grid. Electricity…
Benefits of Multiobjective Learning in Solar Energy Prediction
Aswin Kannan
While the space of renewable energy forecasting has received significant attention in the last decade, literature has primarily focused on machine learning models that train on onl…
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Abhay M Shalghar, Ayush Kumar, Balaji Ganesan +3
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems. While there have been efforts towards populating domain specific…
Document Structure Measure for Hypernym discovery
Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan +2
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypern…
Fine Grained Classification of Personal Data Entities
Riddhiman Dasgupta, Balaji Ganesan, Aswin Kannan +2
Entity Type Classification can be defined as the task of assigning category labels to entity mentions in documents. While neural networks have recently improved the classification…
FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks
Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan +1
Analysis and visualization of an information network can be facilitated better using an appropriate embedding of the network. Network embedding learns a compact low-dimensional vec…
Distributed Stochastic Optimization under Imperfect Information
Aswin Kannan, Angelia Nedich, Uday V. Shanbhag
We consider a stochastic convex optimization problem that requires minimizing a sum of misspecified agentspecific expectation-valued convex functions over the intersection of a col…
Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants
Aswin Kannan, Uday V. Shanbhag
We consider the stochastic variational inequality problem in which the map is expectation-valued in a component-wise sense. Much of the available convergence theory and rate statem…