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stochastic gradient descent

1,337 papers

SGD

Papers

Power-Law Escape Rate of SGD ICML 2022 Privacy Amplification by Decentralization AISTATS 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Provable Generalization of Overparameterized Meta-learning Trained with SGD NeurIPS 2022 Proximal and Federated Random Reshuffling ICML 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022 Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum ICLR 2022 Revisit last-iterate convergence of mSGD under milder requirement on step size NeurIPS 2022 Ridgeless Regression with Random Features IJCAI 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime NeurIPS 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 Robust Training of Neural Networks Using Scale Invariant Architectures ICML 2022 ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm COLT 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022 SGD Can Converge to Local Maxima ICLR 2022 SGD with Coordinate Sampling: Theory and Practice JMLR 2022 Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NeurIPS 2022 Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022 Sharpness-Aware Training for Free NeurIPS 2022 Shifted compression framework: generalizations and improvements UAI 2022