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mini-batch size

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stochastic gradient descent (4) variance reduction (2) distributed learning (2) non-convex optimization (2) stochastic optimization (2) asynchronous stochastic gradient descent (1) cross-iteration computation (1) taylor polynomial (1) mini-batch learning (1) over-parametrized learning (1)

Papers

CaRL: Learning Scalable Planning Policies with Simple Rewards CoRL 2025 Faster Double Adaptive Gradient Methods AAAI 2025 Subspace Optimization for Large Language Models with Convergence Guarantees ICML 2025 Demystifying SGD with Doubly Stochastic Gradients ICML 2024 Cross-Iteration Batch Normalization CVPR 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 SGD: General Analysis and Improved Rates ICML 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation EMNLP 2018 The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018