Browsing Computer Science and Automation (CSA) by Advisor "Bhattacharyya, Arnab"

Now showing items 1-5 of 5

    • Feature Selection under Multicollinearity & Causal Inference on Time Series 

      Bhattacharya, Indranil (2018-08-20)
      In this work, we study and extend algorithms for Sparse Regression and Causal Inference problems. Both the problems are fundamental in the area of Data Science. The goal of regression problem is to nd out the \best" ...

    • Gap between outcomes of voting rules 

      Mathur, Anurita
      Through the course of history, a variety of voting rules have been used to determine election outcomes. The traditional way in social choice theory to evaluate a voting rule is by checking whether it satisfies axioms deemed ...

    • On algebraic and analytic properties of polynomials over finite fields 

      Gupta, Chetan
      In this work, we provide some new interesting results in the emerging theory of higher-order Fourier analysis. The goal of this theory is to understand the connection between the algebraic structure and analytic properties ...

    • On Learning k-Parities and the Complexity of k-Vector-SUM 

      Gadekar, Ameet (2018-02-06)
      In this work, we study two problems: first is one of the central problem in learning theory of learning sparse parities and the other k-Vector-SUM is an extension of the not oriousk-SUM problem. We first consider the problem ...

    • Variants of Hegselmann-Krause Model 

      Shiragur, Kirankumar Shivanand (2017-12-04)
      The Hegselmann-Krause system (HK system for short) is one of the most popular models for the dynamics of opinion formation in multi agent systems. Agents are modeled as points in opinion space, and at every time step, each ...