Madhu Advani

According to our database1, Madhu Advani authored at least 10 papers between 2016 and 2020.

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

Timeline

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Bibliography

2020
High-dimensional dynamics of generalization error in neural networks.
Neural Networks, 2020

A new role for circuit expansion for learning in neural networks.
CoRR, 2020

2019
Dimensionality compression and expansion in Deep Neural Networks.
CoRR, 2019

Generalisation dynamics of online learning in over-parameterised neural networks.
CoRR, 2019

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Minnorm training: an algorithm for training over-parameterized deep neural networks.
CoRR, 2018

Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning.
CoRR, 2018

On the Information Bottleneck Theory of Deep Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
High-dimensional dynamics of generalization error in neural networks.
CoRR, 2017

2016
An equivalence between high dimensional Bayes optimal inference and M-estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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