1 citations · 1 across the 2 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 1 cited
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent
Lauren Watson, Eric Gan, Mohan Dantam +2
Differentially private stochastic gradient descent (DP-SGD) is known to have poorer training and test performance on large neural networks, compared to ordinary stochastic gradient…
cs.GT2023
Approximating the Value of Energy-Parity Objectives in Simple Stochastic Games
Mohan Dantam, Richard Mayr
We consider simple stochastic games with energy-parity objectives, a combination of quantitative rewards with a qualitative parity condition. The Maximizer tries to av…