3 citations · 5 across the 2 of their papers we have counts for
3 papers
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan +1
Reinforcement learning (RL) is empirically successful in complex nonlinear Markov decision processes (MDPs) with continuous state spaces. By contrast, the majority of theoretical R…
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks
Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N Balasubramanian
Theoretical analysis of the error landscape of deep neural networks has garnered significant interest in recent years. In this work, we theoretically study the importance of noise…
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N Balasubramanian
Two major momentum-based techniques that have achieved tremendous success in optimization are Polyak's heavy ball method and Nesterov's accelerated gradient. A crucial step in all…