FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING. - Marzieh Ajirak; Daniel Waxman 002; Fernando Llorente 001; Petar M. Djuric (ACSSC, 2023)

Detecting Confounders in Multivariate Time Series using Strength of Causation. - Yuhao Liu 002; Chen Cui; Daniel Waxman 002; Kurt Butler; Petar M. Djuric (EUSIPCO, 2023)

A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers. - Daniel Waxman 002; Petar M. Djuric (FUSION, 2024)

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems. - Kurt Butler; Daniel Waxman 002; Petar M. Djuric (NeurIPS, 2024)

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery. - Daniel Waxman 002; Kurt Butler; Petar M. Djuric (CoRR, 2024)

Dynamic Online Ensembles of Basis Expansions. - Daniel Waxman 002; Petar M. Djuric (Trans. Mach. Learn. Res., 2024)

Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems. - Fernando Llorente 001; Daniel Waxman 002; Petar M. Djuric (ICASSP, 2025)

Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes. - Daniel Waxman 002; Fernando Llorente 001; Petar M. Djuric (CoRR, 2025)