Publications

“If people do not believe that mathematics is simple, it is only because they do not realize how complicated life is.”

― John von Neumann

Preprints/Articles in Review

[3] General Matrix Optimization         Casey Garner and Gilad Lerman and Shuzhong Zhang.        Preprint - (2024)

[2] Novel Optimization Techniques for Parameter Estimation        Chenyu Wu, Nuozhou Wang, Casey Garner, Kevin Leder, and Shuzhong Zhang.        In Review - (2024)

[1] Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations        Casey Garner and Gilad Lerman and Teng Zhang.        In Review - (2023)

Journal Publications

[4] Spectrally Constrained Optimization Casey Garner and Gilad Lerman and Shuzhong Zhang. Journal of Scientific Computing (2024)

[3] Classifying with Uncertain Data Envelopment Analysis Allen Holder and Casey Garner. EURO Journal on Computational Optimization (2024)

[2] Comparing Voting Districts with Uncertain Data Envelopment Analysis Allen Holder and Casey Garner. Optimization Letters (2023)

[1] Linearly-Convergent FISTA Variant for Composition Optimization with Duality Casey Garner and Shuzhong Zhang Journal of Scientific Computing (2023)

Conference Proceedings

[1] HYPPO: A surrogate-based multi-level parallelism tool for hyperparameter optimization Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, et al. 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments

Technical Reports

[1] Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness Casey Garner and Gilad Lerman and Shuzhong Zhang. Manuscript (2022)

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