Vivak Patel - RankMe

19 papers A* 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC. CoRR Abani K. Patra, Mary P. Thomas, Elias Bou-Harb, Jeffrey C. Carver, Yuebin Guo, Ratnesh Kumar, Julien Langou, Guoyu Lu, Vivak Patel, Marianna Safronova, Isla Simpson, Dhruva Chakravorty, Jane Combs, Hantao Cui, Sushil K. Prasad, Adnan Rajib, Susan Rathbun, Erik Saule, Alan Sussman, Shaowen Wang, Sarina Zhe Zhang, Ben Brown, Varun Chandola, Daniel Crawford, Ian T. Foster, Dave Hart, Mike Heroux, Mary Ann Leung, Benjamin Lynch, Dan Negrut, D. K. Panda, Manish Parashar, Melissa Kline Struhl, George K. Thiruvathukal
2025	J	`jnl`	Revisiting the problem of learning long-term dependencies in recurrent neural networks. Neural Networks Liam Johnston, Vivak Patel, Yumian Cui, Prasanna Balaprakash
2025	J	`jnl`	Scientific Applications Leveraging Randomized Linear Algebra. CoRR Vivak Patel, Daniel Adrian Maldonado, Maksim Melnichenko, Nathaniel Pritchard, Vishwas Rao, Elizaveta Rebrova, Sriram Sankararaman
2024	J	`jnl`	Gradient Descent in the Absence of Global Lipschitz Continuity of the Gradients. SIAM J. Math. Data Sci. Vivak Patel, Albert S. Berahas
2024	J	`jnl`	Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks. CoRR Vivak Patel, Christian Varner
2023	J	`jnl`	Randomized Block Adaptive Linear System Solvers. SIAM J. Matrix Anal. Appl. Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado
2023	J	`jnl`	Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification Nathaniel Pritchard, Vivak Patel
2022	A*	`conf`	Global Convergence and Stability of Stochastic Gradient Descent. NeurIPS Vivak Patel, Shushu Zhang, Bowen Tian
2022	J	`jnl`	Randomized Block Adaptive Linear System Solvers. CoRR Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado
2022	J	`jnl`	Residual Tracking and Stopping for Iterative Random Sketching. CoRR Nathaniel Pritchard, Vivak Patel
2022	J	`jnl`	Stopping criteria for, and strong convergence of, stochastic gradient descent on Bottou-Curtis-Nocedal functions. Math. Program. Vivak Patel
2021	J	`jnl`	An Implicit Representation and Iterative Solution of Randomly Sketched Linear Systems. SIAM J. Matrix Anal. Appl. Vivak Patel, Mohammad Jahangoshahi, Daniel A. Maldonado
2021	J	`jnl`	Convergence of Adaptive, Randomized, Iterative Linear Solvers. CoRR Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado
2021	J	`jnl`	Global Convergence and Stability of Stochastic Gradient Descent. CoRR Vivak Patel, Bowen Tian, Shushu Zhang
2021	J	`jnl`	Second-Order Sensitivity Methods for Robustly Training Recurrent Neural Network Models. IEEE Control. Syst. Lett. Liam Johnston, Vivak Patel
2020	J	`jnl`	Machine learning for optimizing complex site-specific management. Comput. Electron. Agric. Yuji Saikai, Vivak Patel, Paul D. Mitchell
2020	J	`jnl`	Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions. CoRR Vivak Patel
2017	J	`jnl`	On SGD's Failure in Practice: Characterizing and Overcoming Stalling. CoRR Vivak Patel
2016	J	`jnl`	Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning. SIAM J. Optim. Vivak Patel