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

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

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

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