18 citations · 36 across the 14 of their papers we have counts for
3 papers · 1 filter
CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
Pranav Ajit Nair, Arun Sai Suggala
Large language models (LLMs) have recently demonstrated remarkable performance across diverse language tasks. But their deployment is often constrained by their substantial computa…
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, Arun S. Suggala, Pradeep Shenoy
Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances, in order to maximize performance on a representa…
Second Order Methods for Bandit Optimization and Control
Arun Suggala, Y. Jennifer Sun, Praneeth Netrapalli +1
Bandit convex optimization (BCO) is a general framework for online decision making under uncertainty. While tight regret bounds for general convex losses have been established, exi…