Now showing items 1-6 of 6

    • A network and agent basedmodel of political polarization 

      Tabin, Daniel R. (Rensselaer Polytechnic Institute, Troy, NY, 2021-05)
      In this thesis we discuss the model from the paper “Polarization and Tipping Points” which the author of this thesis coauthored. We go into depth about the decisioning and reasoning behind multiple features of the model ...
    • Deciding who, what, why, and how : aggregating preferences over agents, alternatives, axioms, and rules 

      Abramowitz, Ben (Rensselaer Polytechnic Institute, Troy, NY, 2021-08)
      Collective decision making requires dealing with competing preferences. One probably needs little convincing that such problems can be complex and difficult to solve. There are many types of preferences, many different ...
    • Matching, social welfare and ordinal approximation 

      Zhu, Wennan (Rensselaer Polytechnic Institute, Troy, NY, 2020-05)
      Many important problems involve agents with preferences for different outcomes. Such settings include, for example, social choice and matching problems. Although the quality of an outcome to an agent may be measured by a ...
    • Non-discriminative algorithmic pricing: decentralized resource allocation in markets 

      Sekar, Shreyas (Rensselaer Polytechnic Institute, Troy, NY, 2017-05)
      2) Pricing under uncertainty: Even when the seller only has access to a distribution over (submodular) buyer valuations, and items have a non-linear production cost, we show that it is possible to efficiently compute prices ...
    • Robust news veracity detection 

      Horne, Benjamin D. (Rensselaer Polytechnic Institute, Troy, NY, 2020-05)
      Second, we learn from news source behavior and relationships. In this approach, we explore content sharing behavior by both mainstream and alternative news sources. Specifically, we construct content sharing networks from ...
    • Unsupervised learning : evaluation, distributed setting, and privacy 

      Tsikhanovich, Maksim (Rensselaer Polytechnic Institute, Troy, NY, 2018-05)
      Chapter 1 is an overview of topic modeling as a set of unsupervised learning tasks. We present the Latent Dirichlet Allocation (LDA) model, and show how k-means as well as non- negative matrix factorization (NMF) can also ...