Dan Waxman

Department of Electrical and Computer Engineering

Stony Brook University

Stony Brook, New York, USA

I’m a third-year PhD student at Stony Brook University working with Petar Djurić. My research interests include Bayesian machine learning, statistics, and causal structure learning. I’m particularly interested in advancing theoretical methods in pursuit of applications, for example in the earth sciences with SW-IFL or in conciousness science. You can find more about my research interests in publications on my research page.

Prior to graduate school, I also completed my undergrad at Stony Brook in math and statistics. Some open-source projects I’ve contributed to include manim, the open-source animation engine by 3blue1brown for his videos, IVQ an interactive video quiz tool designed for universities used by several hundreds of students at Stony Brook, and some random robotics things.

Additionally, I’m a Senator in the SBU Graduate Student Organization, and was recently a member of Project REACH and the SBU Strategic Planning Steering Committee.

For the past several years, I’ve participated in the Directed Reading Programs of CUNY and SBU, where I mentor students in semester-long reading projects in math, machine learning in statistics. I also served on the organizing committee of SBUHacks, the largest hackathon on Long Island, for two years, and continue to mentor at their events.

news

Apr 14, 2024	I’m excited to be in Seoul this week for ICASSP 2024! I’ll be presenting DAGMA-DCE on Wednesday morning – if oyu’d like to chat about the paper (or anything else) let me know!
Jan 9, 2024	The final version of the DAGMA-DCE paper is now available on IEEE Xplore and the arXiv!
Sep 13, 2023	Giving a guest talk at the Acoustics Research Institute of the Austrian Academy of Sciences on our recent works in causal discovery.
Sep 3, 2023	At EUSIPCO 2023 presenting our work on detecting confounders in multivariate time series.

selected publications

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},
}

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.}
}

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},
}

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 = {},
}

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}
}