10 citations · 15 across the 2 of their papers we have counts for
3 papers
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
Florian Meier, Asier Mujika, Marcelo Matheus Gauy +1
Evolutionary Strategies (ES) are known to be an effective black-box optimization technique for deep neural networks when the true gradients cannot be computed, such as in Reinforce…
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika +2
One of the central goals of Recurrent Neural Networks (RNNs) is to learn long-term dependencies in sequential data. Nevertheless, the most popular training method, Truncated Backpr…
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
Hafsteinn Einarsson, Marcelo Matheus Gauy, Johannes Lengler +4
We study unbiased evolutionary algorithms on linear functions with an unknown number of bits with non-zero weight. Static algorithms achieve an optimal runtime of $O(n…