no code implementations • 31 Jul 2023 • Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose
This paper presents a comprehensive survey of 37 papers published during 1992-2023 and concerning the application of causal inference to banking, finance, and insurance.
no code implementations • 19 Aug 2022 • Satyam Kumar, Vadlamani Ravi
A specific class of algorithms known as counterfactuals may be able to provide causability.
no code implementations • 18 Aug 2022 • Satyam Kumar, Mendhikar Vishal, Vadlamani Ravi
To the best of our knowledge, no work is reported that offers an Explainable Reinforcement Learning (XRL) method for trading financial stocks.
no code implementations • 18 Jul 2022 • Satyam Kumar, Vadlamani Ravi
Providing feature importance is the most important and popular interpretation technique used in shallow and deep neural networks.