S. Indrapriyadarsini

According to our database, S. Indrapriyadarsini authored at least 11 papers between 2018 and 2022.

Collaborative distances:

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

2022

Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov's Gradient for Training Neural Networks.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Algorithms, 2022

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract).

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method.

S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A modified limited memory Nesterov's accelerated quasi-Newton.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

CoRR, 2021

2020

A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

CoRR, 2020

A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

CoRR, 2019

Momentum Acceleration of Quasi-Newton Training for Neural Networks.

Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method.

Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow.

S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018