Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL

Standard errors for moment matching estimators given limited knowledge about the moment variance-covariance matrix

Standard errors for moment matching estimators given limited knowledge about the moment variance-covariance matrix

Laplace state space filter with exact inference and moment matching, for outlier robust filtering that is as fast as the Kalman filter.

A research-driven analysis of dynamic ticket pricing, modeling distributions with scaled Beta estimates derived from limited statistics (min, max, mean, median). The approach enriches Random Forest classification by incorporating shape parameters (α, β) and leveraging constant-value features for implicit regularization. Based on SeatGeek data.