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An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
In this work, we propose a novel adaptive stochastic gradient-free (ASGF...
06/18/2020 ∙ by Anton Dereventsov, et al. ∙
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Biorthogonal greedy algorithms in convex optimization
The study of greedy approximation in the context of convex optimization ...
01/15/2020 ∙ by Anton Dereventsov, et al. ∙
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Neural network integral representations with the ReLU activation function
We derive a formula for neural network integral representations on the s...
10/07/2019 ∙ by Anton Dereventsov, et al. ∙
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Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks
We present a novel greedy approach to obtain a single layer neural netwo...
05/24/2019 ∙ by Anton Dereventsov, et al. ∙
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