Vivak Patel

According to our database, Vivak Patel authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks.

Vivak Patel, Christian Varner

CoRR, 2024

2023

Randomized Block Adaptive Linear System Solvers.

Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado

SIAM J. Matrix Anal. Appl., September, 2023

Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification.

Nathaniel Pritchard, Vivak Patel

SIAM/ASA J. Uncertain. Quantification, September, 2023

2022

Stopping criteria for, and strong convergence of, stochastic gradient descent on Bottou-Curtis-Nocedal functions.

Vivak Patel

Math. Program., 2022

Residual Tracking and Stopping for Iterative Random Sketching.

Nathaniel Pritchard, Vivak Patel

CoRR, 2022

Global Convergence and Stability of Stochastic Gradient Descent.

Vivak Patel, Shushu Zhang, Bowen Tian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems.

Vivak Patel, Mohammad Jahangoshahi, Daniel A. Maldonado

SIAM J. Matrix Anal. Appl., 2021

Second-Order Sensitivity Methods for Robustly Training Recurrent Neural Network Models.

Liam Johnston, Vivak Patel

IEEE Control. Syst. Lett., 2021

Convergence of Adaptive, Randomized, Iterative Linear Solvers.

Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado

CoRR, 2021

2020

Machine learning for optimizing complex site-specific management.

Yuji Saikai, Vivak Patel, Paul D. Mitchell

Comput. Electron. Agric., 2020

2017

On SGD's Failure in Practice: Characterizing and Overcoming Stalling.

Vivak Patel

CoRR, 2017

2016

Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning.

Vivak Patel

SIAM J. Optim., 2016