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Design and Analysis of Consistent Algorithms for Multiclass Learning Problems
(2018-08-14)
We consider the broad framework of supervised learning, where one gets examples of objects together with some labels (such as tissue samples labeled as cancerous or non-cancerous, or images of handwritten digits labeled ...
Feature Selection under Multicollinearity & Causal Inference on Time Series
(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" ...
Deep Learning with Minimal Supervision
Abstract
In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ...