Majority-vote ensembles on stationary Markov chains have minimax excess risk Omega(sqrt(Tmix/n)); uniform bagging is suboptimal at Omega(Tmix/sqrt(n)), while adaptive spectral routing matches the optimal rate on a graph-regular subclass.
Gomez, ukasz Kaiser, and Illia Polosukhin
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NeuroPlastic is a gradient-based optimizer augmented with a multi-signal plasticity modulation mechanism that improves performance over standard updates on image classification tasks, especially in low-data regimes.
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Minimax Optimality and Spectral Routing for Majority-Vote Ensembles under Markov Dependence
Majority-vote ensembles on stationary Markov chains have minimax excess risk Omega(sqrt(Tmix/n)); uniform bagging is suboptimal at Omega(Tmix/sqrt(n)), while adaptive spectral routing matches the optimal rate on a graph-regular subclass.
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NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics
NeuroPlastic is a gradient-based optimizer augmented with a multi-signal plasticity modulation mechanism that improves performance over standard updates on image classification tasks, especially in low-data regimes.