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adagrad

4 papers

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Co-occurring keywords · papers mentioning both

adam (1) d-adaptation (1) dimensional dependence (1) gradient noise variance (1) ∑₁-norm (1) h"{o}lder smoothness (1) iterate differences (1) step-size coefficients (1) universal gradient method (1) bayes optimal algorithm (1)

Papers

How rotation invariant algorithms are fooled by noise on sparse targets ALT 2025 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization COLT 2025 Prodigy: An Expeditiously Adaptive Parameter-Free Learner ICML 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024