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Representing Networks: Centrality, Node Embeddings, Community Outliers and Graph Representation
Networks are ubiquitous. We start our technical work in this thesis by exploring the classical concept of node centrality (also known as influence measure) in information networks. Like clustering, node centrality is also ...
Fragile Interpretations and Interpretable models in NLP
Deploying deep learning models in critical areas where the cost of making a wrong decision
leads to a substantial financial loss, like in the banking domain, or even loss of life, like in the
medical field, is significantly ...
Exploring Welfare Maximization and Fairness in Participatory Budgeting
Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects. It is implemented ...