stochastic gradient descent

Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NeurIPS 2020 Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NeurIPS 2020 Linearly Converging Error Compensated SGD NeurIPS 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020 Local Regularizer Improves Generalization AAAI 2020 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020 NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets SemEval 2020 Neural Networks Learning and Memorization with (almost) no Over-Parameterization NeurIPS 2020 New Insights and Perspectives on the Natural Gradient Method JMLR 2020 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020 Non-Convex SGD Learns Halfspaces with Adversarial Label Noise NeurIPS 2020 Obtaining Adjustable Regularization for Free via Iterate Averaging ICML 2020 On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent ICML 2020 Online Robust Regression via SGD on the l1 loss NeurIPS 2020 On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems NeurIPS 2020 On the Convergence of FedAvg on Non-IID Data ICLR 2020 On the Convergence of SARAH and Beyond AISTATS 2020 On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020 On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020 On the Global Convergence of Training Deep Linear ResNets ICLR 2020 On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020 On the Noisy Gradient Descent that Generalizes as SGD ICML 2020