Swetha Ganesh

According to our database, Swetha Ganesh authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

An Accelerated Multi-level Monte Carlo Approach for Average Reward Reinforcement Learning with General Policy Parametrization.

Swetha Ganesh, Vaneet Aggarwal

CoRR, 2024

Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes.

Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.

Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal

CoRR, 2024

2023

Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.

Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online Learning with Adversaries: A Differential-Inclusion Analysis.

Swetha Ganesh, Alexandre Reiffers-Masson, Gugan Thoppe

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Does Momentum Help? A Sample Complexity Analysis.

Gugan Thoppe, Rohan Deb, Swetha Ganesh, Amarjit Budhiraja

CoRR, 2021