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06/18/2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
Personalized federated learning considers learning models unique to each...
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02/05/2021
Federated Reconstruction: Partially Local Federated Learning
Personalization methods in federated learning aim to balance the benefit...
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11/18/2019
Implicit Regularization of Normalization Methods
Normalization methods such as batch normalization are commonly used in o...
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09/04/2019
Learning Distributions Generated by One-Layer ReLU Networks
We consider the problem of estimating the parameters of a d-dimensional ...
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10/28/2018
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
We characterize the effectiveness of a natural and classic algorithm for...
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06/26/2018
The Sparse Recovery Autoencoder
Linear encoding of sparse vectors is widely popular, but is most commonl...
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03/08/2017
Leveraging Sparsity for Efficient Submodular Data Summarization
The facility location problem is widely used for summarizing large datas...
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10/21/2016
