1 citations · 1 across the 10 of their papers we have counts for
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Natural Policy Gradient for Average Reward Non-Stationary RL
Neharika Jali, Eshika Pathak, Pranay Sharma +2
We consider the problem of non-stationary reinforcement learning (RL) in the infinite-horizon average-reward setting. We model it by a Markov Decision Process with time-varying rew…
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning
Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu +1
Initializing with pre-trained models when learning on downstream tasks is becoming standard practice in machine learning. Several recent works explore the benefits of pre-trained i…
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu +1
We consider the problem of differentially private (DP) convex empirical risk minimization (ERM). While the standard DP-SGD algorithm is theoretically well-established, practical im…