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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
            
              - Optimal Design of Resolvent Splitting Algorithms. Robert Bassett and Peter Barkley. 2024. Submitted.  arXiv:2407.16159.
 
              - Adversarial Perturbations of Physical Signals. Robert Bassett, Anthony Austin, and AJ Van Dellen. 2024. Submitted.  arXiv:2402.17104.
 
              - Exponential Family Trend Filtering on Lattices. Veeranjaneyulu Sadhanala, Robert Bassett, James Sharpnack, Daniel J McDonald. 2024. Electronic Journal of Statistics
 
              - Sensor Subspace Methods which are Robust to Impulsive Noise. Robert Bassett and Micah Oh. 2023. To Appear in Statistics and Computing. Experiments from the Paper.
 
              - One-Step Estimation with Scaled Proximal Methods. Robert Bassett and Julio Deride. 2022. 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. 2019. 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 
 
             
            Selected 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 
 
	      
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