conftrace_

mini-batch gradient

9 papers

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Co-occurring keywords · papers mentioning both

stochastic gradient descent (3) differential privacy (2) neighbor explosion (1) consensus averaging (1) dp-sgd (1) lipschitz convex losses (1) graph neural network (1) curvature approximation (1) stochastic proximal gradient (1) second-order derivative (1)

Papers

On the Gradient Complexity of Private Optimization with Private Oracles COLT 2026 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning NeurIPS 2021 On the Origin of Implicit Regularization in Stochastic Gradient Descent ICLR 2021 Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021 BackPACK: Packing more into Backprop ICLR 2020 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NeurIPS 2019 Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018