Vignesh Ganapathiraman

According to our database1, Vignesh Ganapathiraman authored at least 7 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Efficient Learning rate schedules for Stochastic Non-negative Matrix Factorization via Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Learned Learning Rate Schedules for Deep Neural Network Training Using Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learning Invariant Representations with Kernel Warping.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Inductive Two-layer Modeling with Parametric Bregman Transfer.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Convex Two-Layer Modeling with Latent Structure.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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