Vignesh Ganapathiraman

According to our database, Vignesh Ganapathiraman authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks.

Amrutha Varshini Ramesh, Vignesh Ganapathiraman, Issam H. Laradji, Mark Schmidt

CoRR, 2024

Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models.

Shreyas Subramanian, Vignesh Ganapathiraman, Corey Barrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning.

Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Learned Learning Rate Schedules for Deep Neural Network Training Using Reinforcement Learning.

Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD.

Vignesh Ganapathiraman, Francisco Javier Calderon, Anila Joshi

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2020

Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.

Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Invariant Representations with Kernel Warping.

Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Inductive Two-layer Modeling with Parametric Bregman Transfer.

Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Convex Two-Layer Modeling with Latent Structure.

Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016