Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. - William T. Stephenson; Zachary Frangella; Madeleine Udell; Tamara Broderick (NeurIPS, 2021)

NysADMM: faster composite convex optimization via low-rank approximation. - Shipu Zhao; Zachary Frangella; Madeleine Udell (ICML, 2022)

SketchySGD: Reliable Stochastic Optimization via Robust Curvature Estimates. - Zachary Frangella; Pratik Rathore; Shipu Zhao; Madeleine Udell (CoRR, 2022)

Robust, randomized preconditioning for kernel ridge regression. - Mateo Díaz; Ethan N. Epperly; Zachary Frangella; Joel A. Tropp; Robert J. Webber (CoRR, 2023)

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates. - Zachary Frangella; Pratik Rathore; Shipu Zhao; Madeleine Udell (CoRR, 2023)

Randomized Nyström Preconditioning. - Zachary Frangella; Joel A. Tropp; Madeleine Udell (SIAM J. Matrix Anal. Appl., 2023)

Challenges in Training PINNs: A Loss Landscape Perspective. - Pratik Rathore; Weimu Lei; Zachary Frangella; Lu Lu 015; Madeleine Udell (ICML, 2024)

CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks. - Miria Feng; Zachary Frangella; Mert Pilanci (NeurIPS, 2024)

Have ASkotch: Fast Methods for Large-scale, Memory-constrained Kernel Ridge Regression. - Pratik Rathore; Zachary Frangella; Madeleine Udell (CoRR, 2024)

SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates. - Zachary Frangella; Pratik Rathore; Shipu Zhao; Madeleine Udell (SIAM J. Math. Data Sci., 2024)

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning. - Jingruo Sun; Zachary Frangella; Madeleine Udell (CoRR, 2025)

Enhancing Physics-Informed Neural Networks Through Feature Engineering. - Shaghayegh Fazliani; Zachary Frangella; Madeleine Udell (CoRR, 2025)

Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project. - Pratik Rathore; Zachary Frangella; Sachin Garg; Shaghayegh Fazliani; Michal Derezinski; Madeleine Udell (CoRR, 2025)