Deep Initialization for Guaranteed Unimodular Quadratic Programming. - Amrutha Varshini Ramesh; Mojtaba Soltanalian (ICASSP, 2022)

Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm. - Amrutha Varshini Ramesh; Aaron Mishkin; Mark Schmidt 001; Yihan Zhou; Jonathan Wilder Lavington; Jennifer She (CoRR, 2023)

BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks. - Amrutha Varshini Ramesh; Vignesh Ganapathiraman; Issam H. Laradji; Mark Schmidt 001 (CoRR, 2024)

AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery. - Amirhossein Abaskohi; Amrutha Varshini Ramesh; Shailesh Nanisetty; Chirag Goel; David Vázquez 001; Christopher Pal; Spandana Gella; Giuseppe Carenini; Issam H. Laradji (CoRR, 2025)