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stat.ML2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
Niladri Das, Jed A. Duersch, Thomas A. Catanach
In this paper, we address the problem of convergence of sequential variational inference filter (VIF) through the application of a robust variational objective and Hinf-norm based…
stat.ML2021
Parsimonious Inference
Jed A. Duersch, Thomas A. Catanach
Bayesian inference provides a uniquely rigorous approach to obtain principled justification for uncertainty in predictions, yet it is difficult to articulate suitably general prior…