no code implementations • 16 Jul 2021 • Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh
Despite the research focus, limited attention has been given to the challenging problem of developing solutions in semi-supervised settings, where algorithms have access to a mix of labeled and unlabeled data.
no code implementations • 1 Apr 2018 • Karamjit Singh, Vishal Sunder
We present an approach where two different models (Deep and Shallow) are trained separately on the data and a weighted average of the outputs is taken as the final result.
no code implementations • 25 Oct 2017 • Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff
Given the weather and soil properties, farmers need to take critical decisions such as which seed variety to plant and in what proportion, in order to maximize productivity.
no code implementations • 18 Aug 2017 • Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
In this paper we present a comprehensive view of prominent causal discovery algorithms, categorized into two main categories (1) assuming acyclic and no latent variables, and (2) allowing both cycles and latent variables, along with experimental results comparing them from three perspectives: (a) structural accuracy, (b) standard predictive accuracy, and (c) accuracy of counterfactual inference.
no code implementations • 3 Jan 2017 • Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
Discovering causal models from observational and interventional data is an important first step preceding what-if analysis or counterfactual reasoning.
no code implementations • 11 Nov 2014 • Karamjit Singh, Puneet Agarwal, Gautam Shroff
All multi-component product manufacturing companies face the problem of warranty cost estimation.