Vignesh Ganapathiraman

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Latent Structure

Neural Network Training

Negative Matrix Factorization

Top Venues

Tiny Papers @ ICLR

Publications

Amrutha Varshini Ramesh, Vignesh Ganapathiraman, Issam H. Laradji, Mark Schmidt
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks. CoRR (2024)
Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal
Learned Learning Rate Schedules for Deep Neural Network Training Using Reinforcement Learning. Tiny Papers @ ICLR (2023)
Vignesh Ganapathiraman, Francisco Javier Calderon, Anila Joshi
BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD. Tiny Papers @ ICLR (2023)
Shreyas Subramanian, Vignesh Ganapathiraman, Aly El Gamal
Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning. Tiny Papers @ ICLR (2023)
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. ICML (2020)
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. CoRR (2020)
Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang
Learning Invariant Representations with Kernel Warping. AISTATS (2019)
Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu
Inductive Two-layer Modeling with Parametric Bregman Transfer. ICML (2018)
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
Convex Two-Layer Modeling with Latent Structure. NIPS (2016)