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


[4] Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations        Casey Garner, Gilad Lerman, and Teng Zhang.        Manuscript - In Review - (2023) 
[3] Spectrally Constrained Optimization        Casey Garner, Gilad Lerman, and Shuzhong Zhang.        Manuscript - In Review - (2023) 
[2] Classifying with Uncertain Data Envelopment Analysis        Casey Garner and Allen Holder.         Manuscript - In Review - (2023) 
[1] Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness        Casey Garner, Gilad Lerman, and Shuzhong Zhang.         Manuscript (2022) 

Journal Publications


[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