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05/21/2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Large convolutional neural networks (CNN) can be difficult to train in t...
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02/25/2022
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity
Interpretable machine learning has demonstrated impressive performance w...
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07/02/2021
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm
Sparse Group LASSO (SGL) is a regularized model for high-dimensional lin...
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11/01/2020
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Recent years have witnessed strong empirical performance of over-paramet...
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10/25/2020