Hanie Sedghi

According to our database1, Hanie Sedghi authored at least 23 papers between 2010 and 2020.

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Bibliography

2020
What is being transferred in transfer learning?
CoRR, 2020

Generalization bounds for deep convolutional neural networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

The intriguing role of module criticality in the generalization of deep networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network.
Neural Comput., 2019

Size-free generalization bounds for convolutional neural networks.
CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.
CoRR, 2019

The Singular Values of Convolutional Layers.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Knowledge Completion for Generics Using Guided Tensor Factorization.
Trans. Assoc. Comput. Linguistics, 2018

2017
How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Training Input-Output Recurrent Neural Networks through Spectral Methods.
CoRR, 2016

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Statistical Structure Learning to Ensure Data Integrity in Smart Grid.
IEEE Trans. Smart Grid, 2015

Provable Methods for Training Neural Networks with Sparse Connectivity.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Generalization Bounds for Neural Networks through Tensor Factorization.
CoRR, 2015

Score Function Features for Discriminative Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods.
CoRR, 2015

FEAST at Play: Feature ExtrAction using Score function Tensors.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014
Statistical Structure Learning, Towards a Robust Smart Grid.
CoRR, 2014

Guarantees for Multi-Step Stochastic ADMM in High Dimensions.
CoRR, 2014

Provable Tensor Methods for Learning Mixtures of Classifiers.
CoRR, 2014

Score Function Features for Discriminative Learning: Matrix and Tensor Framework.
CoRR, 2014

Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2010
A Game-Theoretic Approach for Power Allocation in Bidirectional Cooperative Communication.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010


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