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cs.CL2021
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation
Anish Acharya, Rudrajit Das
In this paper we study test time decoding; an ubiquitous step in almost all sequential text generation task spanning across a wide array of natural language processing (NLP) proble…
cs.LG2021
On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi +1
There is a dearth of convergence results for differentially private federated learning (FL) with non-Lipschitz objective functions (i.e., when gradient norms are not bounded). The…