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ORCIDVivak Patel
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2020 – today
- 2024
[i7]Vivak Patel, Christian Varner:
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks. CoRR abs/2409.13672 (2024)- 2023
- [j7]Nathaniel Pritchard
, Vivak Patel:
Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 11(3): 996-1024 (2023) - [j6]Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Randomized Block Adaptive Linear System Solvers. SIAM J. Matrix Anal. Appl. 44(3): 1349-1369 (2023) - 2022
- [j5]Vivak Patel:
Stopping criteria for, and strong convergence of, stochastic gradient descent on Bottou-Curtis-Nocedal functions. Math. Program. 195(1): 693-734 (2022) - [c1]Vivak Patel, Shushu Zhang, Bowen Tian:
Global Convergence and Stability of Stochastic Gradient Descent. NeurIPS 2022 - [i6]Nathaniel Pritchard, Vivak Patel:
Residual Tracking and Stopping for Iterative Random Sketching. CoRR abs/2201.05741 (2022) - [i5]Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Randomized Block Adaptive Linear System Solvers. CoRR abs/2204.01653 (2022) - 2021
- [j4]Liam Johnston, Vivak Patel:
Second-Order Sensitivity Methods for Robustly Training Recurrent Neural Network Models. IEEE Control. Syst. Lett. 5(2): 529-534 (2021) - [j3]Vivak Patel, Mohammad Jahangoshahi, Daniel A. Maldonado:
An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems. SIAM J. Matrix Anal. Appl. 42(2): 800-831 (2021) - [i4]Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Convergence of Adaptive, Randomized, Iterative Linear Solvers. CoRR abs/2104.04816 (2021) - [i3]Vivak Patel, Bowen Tian, Shushu Zhang:
Global Convergence and Stability of Stochastic Gradient Descent. CoRR abs/2110.01663 (2021) - 2020
- [j2]Yuji Saikai, Vivak Patel, Paul D. Mitchell:
Machine learning for optimizing complex site-specific management. Comput. Electron. Agric. 174: 105381 (2020) - [i2]Vivak Patel:
Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions. CoRR abs/2004.00475 (2020)
2010 – 2019
- 2017
- [i1]Vivak Patel:
On SGD's Failure in Practice: Characterizing and Overcoming Stalling. CoRR abs/1702.00317 (2017) - 2016
- [j1]Vivak Patel:
Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning. SIAM J. Optim. 26(4): 2620-2648 (2016)
Coauthor Index
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