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Achintya Kundu

2 accepted papers

2024

Efficiently Distilling LLMs for Edge Applications

NAACL 2024industry

Supernet training of LLMs is of great interest in industrial applications as it confers the ability to produce a palette of smaller models at constant cost, regardless of the number of models (of different size / latency) produced. We propose a new method called Multistage Low-rank Fine-tuning of Su…

Cited by 9SourcePDFScholar
2018

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach

AISTATS 2018poster

We consider the problem of minimizing a convex function over the intersection of finitely many simple sets which are easy to project onto. This is an important problem arising in various domains such as machine learning. The main difficulty lies in finding the projection of a point in the intersect…

Cited by 20SourcePDFScholar