‪Daniel Waxman‬ - ‪Google Scholar‬

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Co-authors

Kurt ButlerStony Brook UniversityVerified email at stonybrook.edu
Yuhao LiuCapital OneVerified email at capitalone.com
Chen CuiStony Brook UniversityVerified email at stonybrook.edu
Fernando LlorentePostdoc, Stony Brook UniversityVerified email at stonybrook.edu
Marzieh AjirakCornell UniversityVerified email at med.cornell.edu

Daniel Waxman

Daniel Waxman

PhD Candidate, Electrical Engineering, Stony Brook University

Verified email at stonybrook.edu - Homepage

bayesian machine learning gaussian processes online learning causal inference


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Detecting Confounders in Multivariate Time Series using Strength of Causation Y Liu, C Cui, D Waxman, K Butler, PM Djuric 31st European Signal Processing Conference (EUSIPCO 2023), 1400-1404, 2023	2	2023
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery D Waxman, K Butler, PM Djurić IEEE Open Journal of Signal Processing, 2024		2024
Fusion of Gaussian Processes Predictions with Monte Carlo Sampling M Ajirak, D Waxman, F Llorente, PM Djuric 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1367-1371, 2023		2023

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