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Research
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Email: robert.bassett "at" nps "dot" edu
Office: Glasgow Hall 289
Dept. of Operations Research
1411 Cunningham Rd
Monterey, CA 93943
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Research
Publications and Preprints
- Sensor Subspace Methods which are Robust to Impulsive Noise. 2023. Submitted. Experiments from the Paper.
- One-Step Estimation with Scaled Proximal Methods Robert Bassett and Julio Deride. 2021. Mathematics of Operations Research
- The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing. Robert Bassett, Jacob Foster, Kay L. Gemba, Paul Leary, Kevin B. Smith. 2021. Accepted to 2021 Conference on Sensor and Signal Processing in Defence
- DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis. Kevin Lutz and Robert Bassett. 2021. Accepted to 2021 ACMM Workshop on Audiovisual Deepfake Generation and Detection
- Color and Edge-Aware Adversarial Image Perturbations. Robert Bassett, Mitchell Graves, and Patrick Reilly. 2021. Accepted to 2021 ACMM Workshop on Adversarial Learning
- Fused Density Estimation: Theory and Methods. Robert Bassett and James Sharpnack. 2019. Journal of the Royal Statistical Society: Series B (Statistical Methodology)
- Maximum a Posteriori Estimators as a Limit of Bayes Estimators. Robert Bassett and Julio Deride. 2018. Mathematical Programming
- Stochastic and Convex Optimization in Statistical Estimation. Robert Bassett. 2018 PhD Dissertation
- A quantitative Doignon-Bell-Scarf theorem. Iskander Aliev, Robert Bassett, Jesus A De Loera and Quentin Louveaux. 2017. Combinatorica
- Log-Concave Duality in Estimation and Control. Robert Bassett, Michael Casey, and Roger Wets. 2016. Technical Report
- Multistage Portfolio Optimization: A Duality Result in Conic Market Models. Robert Bassett and Khoa Le. 2016. Technical Report
Recent Presentations
- In March 2022 I gave a department seminar surveying methods for speeding up Python code. Here are links to my slides and a zip file containing my examples.
- SIAM Optimization Conference, 2021. One-Step Estimation with Scaled Proximal Methods. Presentation Link
Funding
Acknowledgements to the following organizations for funding my research.
- ONR Research Grant (with P. Leary and J. Royset), "Decision Theoretic and Algorithmic Foundations for Autonomy in Adversarial Environments". 2020-2023. $501K.
- Various agencies within the Department of Defense.
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