Derivation and Analysis of Fast Bilinear Algorithms for Convolution. - Caleb Ju; Edgar Solomonik (SIAM Rev., 2020)

Communication Lower Bounds for Nested Bilinear Algorithms. - Caleb Ju; Yifan Zhang; Edgar Solomonik (CoRR, 2021)

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data. - Yan Li 074; Caleb Ju; Ethan X. Fang; Tuo Zhao (CoRR, 2021)

Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs. - Caleb Ju; Serif Yesil; Mengyuan Sun; Chandra Chekuri; Edgar Solomonik (CoRR, 2023)

Strongly-Polynomial Time and Validation Analysis of Policy Gradient Methods. - Caleb Ju; Guanghui Lan (CoRR, 2024)

Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration. - Caleb Ju; Constance Crozier (CoRR, 2024)

A Model-Free First-Order Method for Linear Quadratic Regulator with ( boldsymbol{ tilde {O}(1/ varepsilon )} ) Sampling Complexity. - Caleb Ju; Georgios Kotsalis; Guanghui Lan (SIAM J. Control. Optim., 2025)

Communication Lower Bounds for Nested Bilinear Algorithms via Rank Expansion of Kronecker Products. - Caleb Ju; Yifan Zhang; Edgar Solomonik (Found. Comput. Math., 2025)