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Meta-Consolidation for Continual Learning
Neural Information Processing Systems
In this natural setting, it is not common to see the same data sample multiple times, or even twice at times.
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Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Neural Information Processing Systems
Stochastic approximation is a foundation for many algorithms found in machine learning and optimization.
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