1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
Zeliang Zhang, Jinyang Jiang, Zhuo Liu +3
Efficient and biologically plausible alternatives to backpropagation in neural network training remain a challenge due to issues such as high computational complexity and additiona…
cs.LG2024★ 1 cited
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
Ruihan Zhou, L. Jeff Hong, Yijie Peng
We introduce AlphaRank, an artificial intelligence approach to address the fixed-budget ranking and selection (R&S) problems. We formulate the sequential sampling decision as a Mar…