research

2024

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

   Daniel Waxman, and Petar M. Djurić

   2024

   Submitted

   Bib Code

   @article{waxman2024online,
     author = {Waxman, Daniel and Djurić, Petar {M.}},
     booktitle = {},
     title = {A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers},
     year = {2024},
     volume = {},
     number = {},
     pages = {},
     doi = {},
     note = {Submitted},
   }

2. TMLR

   Dynamic Online Ensembles of Basis Expansions

   Daniel Waxman, and Petar M. Djurić

   Transactions on Machine Learning Research (TMLR), 2024

   Accepted.

   Bib

   @article{waxman2024doebe,
     author = {Waxman, Daniel and Djurić, Petar {M.}},
     title = {Dynamic Online Ensembles of Basis Expansions},
     journal = {Transactions on Machine Learning Research (TMLR)},
     year = {2024},
     note = {Accepted.}
   }

3. OJ-SP

   DAGMA-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery

   Daniel Waxman, Kurt Butler, and Petar M. Djurić

   IEEE Open Journal of Signal Processing, 2024

   arXiv Bib PDF Code

   @article{waxman2024dagmadce,
     author = {Waxman, Daniel and Butler, Kurt and Djurić, Petar {M.}},
     title = {DAGMA-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery},
     year = {2024},
     volume = {5},
     journal = {IEEE Open Journal of Signal Processing},
     pages = {393-401},
     doi = {10.1109/OJSP.2024.3351593},
   }

2023

1. ACSSC ’23

   Fusion of Gaussian Process Predictions With Monte Carlo

   Marzieh Ajirak, Daniel Waxman, Fernando Llorente, and Petar M. Djurić

   In 2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023

   arXiv Bib PDF

   @inproceedings{ajirak2023fusion,
     author = {Ajirak, Marzieh and Waxman, Daniel and Llorente, Fernando and Djurić, Petar {M.}},
     booktitle = {2023 57th Asilomar Conference on Signals, Systems, and Computers},
     title = {Fusion of Gaussian Process Predictions With Monte Carlo},
     year = {2023},
     volume = {},
     number = {},
     pages = {1367--1371},
     doi = {},
   }

2. EUSIPCO ’23

   Detecting Confounders in Multivariate Time Series Using Strength of Causation

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

   In 2023 31st European Signal Processing Conference (EUSIPCO), 2023

   Bib PDF

   @inproceedings{liu2023detecting,
     author = {Liu, Yuhao and Cui, Chen and Waxman, Daniel and Butler, Kurt and Djurić, Petar {M.}},
     booktitle = {2023 31st European Signal Processing Conference (EUSIPCO)},
     title = {Detecting Confounders in Multivariate Time Series Using Strength of Causation},
     year = {2023},
     volume = {},
     number = {},
     pages = {1400-1404},
     doi = {10.23919/EUSIPCO58844.2023.10289850},
     video = {https://youtu.be/I5K6Jc4LJfM}
   }