no code implementations • 23 May 2023 • Arnab Ganguly, Tobias Sutter
This paper proposes a statistically optimal approach for learning a function value using a confidence interval in a wide range of models, including general non-parametric estimation of an expected loss described as a stochastic programming problem or various SDE models.
no code implementations • 30 May 2022 • Arnab Ganguly, Riten Mitra, Jinpu Zhou
The paper has two major themes.
no code implementations • 7 Jan 2020 • Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly
The impacts of context factors driving human system interaction are challenging and are difficult to capture and replicate in existing design models.
no code implementations • 3 Aug 2015 • Tobias Sutter, Arnab Ganguly, Heinz Koeppl
We consider a hidden Markov model, where the signal process, given by a diffusion, is only indirectly observed through some noisy measurements.