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Ashish V. Tendulkar

2 accepted papers

2023

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks

NeurIPS 2023poster

Existing subset selection methods for efficient learning predominantly employ discrete combinatorial and model-specific approaches, which lack generalizability--- for each new model, the algorithm has to be executed from the beginning. Therefore, for an unseen architecture, one cannot use the subset…

2021

Learning to Select Exogenous Events for Marked Temporal Point Process

NeurIPS 2021poster

Marked temporal point processes (MTPPs) have emerged as a powerful modeling tool for a wide variety of applications which are characterized using discrete events localized in continuous time. In this context, the events are of two types endogenous events which occur due to the influence of the previ…

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