Daniel Waxman

According to our database, Daniel Waxman authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes.

Daniel Waxman, Fernando Llorente, Petar M. Djuric

CoRR, May, 2025

Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems.

Fernando Llorente, Daniel Waxman, Petar M. Djuric

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Dynamic Online Ensembles of Basis Expansions.

Daniel Waxman, Petar M. Djuric

Trans. Mach. Learn. Res., 2024

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery.

Daniel Waxman, Kurt Butler, Petar M. Djuric

CoRR, 2024

Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems.

Kurt Butler, Daniel Waxman, Petar M. Djuric

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers.

Daniel Waxman, Petar M. Djuric

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Detecting Confounders in Multivariate Time Series using Strength of Causation.

Yuhao Liu, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric

Proceedings of the 31st European Signal Processing Conference, 2023

FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING.

Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023