stochastic gradient

Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning AAAI 2020 Markovian Score Climbing: Variational Inference with KL(p||q) NeurIPS 2020 On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NeurIPS 2020 Projected Stein Variational Gradient Descent NeurIPS 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 Risk Bounds for Low Cost Bipartite Ranking UAI 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Stochastic Optimization for Regularized Wasserstein Estimators ICML 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020 Stochastic Regret Minimization in Extensive-Form Games ICML 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020 Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NeurIPS 2020 Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NeurIPS 2020 Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems AISTATS 2020 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Almost surely constrained convex optimization ICML 2019 An adaptive Mirror-Prox method for variational inequalities with singular operators NeurIPS 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019