Vivak Patel

Orcid: 0000-0003-4130-0897

According to our database1, Vivak Patel authored at least 13 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Revisiting the problem of learning long-term dependencies in recurrent neural networks.
Neural Networks, 2025

2024
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks.
CoRR, 2024

2023
Randomized Block Adaptive Linear System Solvers.
SIAM J. Matrix Anal. Appl., September, 2023

Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, September, 2023

2022
Stopping criteria for, and strong convergence of, stochastic gradient descent on Bottou-Curtis-Nocedal functions.
Math. Program., 2022

Residual Tracking and Stopping for Iterative Random Sketching.
CoRR, 2022

Global Convergence and Stability of Stochastic Gradient Descent.
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.
SIAM J. Matrix Anal. Appl., 2021

Second-Order Sensitivity Methods for Robustly Training Recurrent Neural Network Models.
IEEE Control. Syst. Lett., 2021

Convergence of Adaptive, Randomized, Iterative Linear Solvers.
CoRR, 2021

2020
Machine learning for optimizing complex site-specific management.
Comput. Electron. Agric., 2020

2017
On SGD's Failure in Practice: Characterizing and Overcoming Stalling.
CoRR, 2017

2016
Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning.
SIAM J. Optim., 2016


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