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Alex Tang

2 accepted papers

2023

Agnostic Learning of General ReLU Activation Using Gradient Descent

ICLR 2023poster

We provide a convergence analysis of gradient descent for the problem of agnostically learning a single ReLU function under Gaussian distributions. Unlike prior work that studies the setting of zero bias, we consider the more challenging scenario when the bias of the ReLU function is non-zero. Our m…

Cited by 9SourcePDFScholar
2021

Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations

NeurIPS 2021poster

We present polynomial time and sample efficient algorithms for learning an unknown depth-2 feedforward neural network with general ReLU activations, under mild non-degeneracy assumptions. In particular, we consider learning an unknown network of the form $f(x) = {a}^{\mathsf{T}}\sigma({W}^\mathsf{T}…

Cited by 24SourcePDFScholar