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07/04/2021
A Theoretical Analysis of Fine-tuning with Linear Teachers
Fine-tuning is a common practice in deep learning, achieving excellent g...
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01/07/2021
Towards Understanding Learning in Neural Networks with Linear Teachers
Can a neural network minimizing cross-entropy learn linearly separable d...
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02/22/2020
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions
Training overparameterized convolutional neural networks with gradient b...
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07/11/2019
On the Optimality of Trees Generated by ID3
Since its inception in the 1980s, ID3 has become one of the most success...
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06/20/2019
ID3 Learns Juntas for Smoothed Product Distributions
In recent years, there are many attempts to understand popular heuristic...
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12/27/2018
Low Latency Privacy Preserving Inference
When applying machine learning to sensitive data, one has to balance bet...
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10/06/2018
Over-parameterization Improves Generalization in the XOR Detection Problem
Empirical evidence suggests that neural networks with ReLU activations g...
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02/26/2017