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cs.LG2024
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits
Padma Priyanka, Sheetal Kalyani, Avhishek Chatterjee
Learning rate is a crucial parameter in training of neural networks. A properly tuned learning rate leads to faster training and higher test accuracy. In this paper, we propose a L…
cs.LG2024
Learning the Influence Graph of a High-Dimensional Markov Process with Memory
Smita Bagewadi, Avhishek Chatterjee
Motivated by multiple applications in social networks, nervous systems, and financial risk analysis, we consider the problem of learning the underlying (directed) influence graph o…