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10/27/2022
Stochastic Mirror Descent in Average Ensemble Models
The stochastic mirror descent (SMD) algorithm is a general class of trai...
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10/29/2020
Robustifying Binary Classification to Adversarial Perturbation
Despite the enormous success of machine learning models in various appli...
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10/29/2020
The Performance Analysis of Generalized Margin Maximizer (GMM) on Separable Data
Logistic models are commonly used for binary classification tasks. The s...
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11/30/2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Federated Learning enables mobile devices to collaboratively learn a sha...
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06/20/2019
Universality in Learning from Linear Measurements
We study the problem of recovering a structured signal from independentl...
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06/10/2019
The Impact of Regularization on High-dimensional Logistic Regression
Logistic regression is commonly used for modeling dichotomous outcomes. ...
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01/20/2018
