Yixin Chen
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The paper proposes DAG-MoE, a novel sparse Mixture-of-Experts framework that replaces standard weighted-sum aggregation with structural aggregation to enhance model performance and enable multi-step reasoning.
This paper analyzes the regret of a NeuroEvolutionary Online Learning (NEOL) framework for learning neural network architectures and weights, achieving sublinear regret under mild conditions.
Papers
Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity
This paper analyzes the regret of a NeuroEvolutionary Online Learning (NEOL) framework for learning neural network architectures and weights, achieving sublinear regret under mild conditions.