Adam Optimizer - Edgentiq

Mini-Batch Adam’s Implicit Bias Diverges from Full-Batch Behavior

Unlocking Low-Precision Training: A New Theory for Adaptive Optimizer Convergence

Seesaw: Achieving Significant Speedups in Large Language Model Pretraining

Batch Size and Weight Decay: Unpacking Adam’s Generalization in Neural Networks

Understanding Muon’s Advantage in Training Large Language Models

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Kourkoutas-β: An Adaptive Optimizer for Spiky Gradients

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Dimer-Enhanced Optimization: Stabilizing Neural Network Training by Escaping Saddle Points

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A New View on Adam’s Convergence: Simpler Proofs and Deeper Insights

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Gen AI News and Updates

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Mini-Batch Adam’s Implicit Bias Diverges from Full-Batch Behavior

October 31, 2025

Unlocking Low-Precision Training: A New Theory for Adaptive Optimizer Convergence

October 27, 2025

Seesaw: Achieving Significant Speedups in Large Language Model Pretraining

October 17, 2025