32 citations · 32 across the 2 of their papers we have counts for
4 papers
Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
Sacchit Kale, Piyushi Manupriya, Pierre Marion +2
Gradient descent and stochastic gradient descent are central to modern machine learning, yet their behavior under large step sizes remains theoretically unclear. Recent work sugges…
Submodular Framework for Structured-Sparse Optimal Transport
Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy +2
Unbalanced optimal transport (UOT) has recently gained much attention due to its flexible framework for handling un-normalized measures and its robustness properties. In this work,…
Consistent Optimal Transport with Empirical Conditional Measures
Piyushi Manupriya, Rachit Keerti Das, Sayantan Biswas +1
Given samples from two joint distributions, we consider the problem of Optimal Transportation (OT) between them when conditioned on a common variable. We focus on the general setti…
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar +1
We propose a new attribution method for neural networks developed using first principles of causality (to the best of our knowledge, the first such). The neural network architectur…