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stat.ML2025
Nonparametric learning of stochastic differential equations from sparse and noisy data
Arnab Ganguly, Riten Mitra, Jinpu Zhou
The paper proposes a systematic framework for building data-driven stochastic differential equation (SDE) models from sparse, noisy observations. Unlike traditional parametric appr…
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…