conftrace_

convergence theory

9 papers

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Co-occurring keywords · papers mentioning both

gradient descent (3) non-convex optimization (3) implicit bia (2) convergence rate (2) learning rate (2) adaptive stochastic algorithm (1) edge of stability (1) large learning rate (1) feasible set (1) hessian-vector product (1)

Papers

Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes ICML 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions ICLR 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop UAI 2024 SP2 : A Second Order Stochastic Polyak Method ICLR 2023 CCCP is Frank-Wolfe in disguise NeurIPS 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect ICLR 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022