1 citations · 1 across the 3 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2023
Optimal Confidence Intervals via Moderate Deviations Theory
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 estimatio…
stat.ML2022★ 1 cited
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
Arnab Ganguly, Riten Mitra, Jinpu Zhou
The paper has two major themes. The first part of the paper establishes certain general results for infinite-dimensional optimization problems on Hilbert spaces. These results cove…