stochastic gradient

Optimal Underdamped Langevin MCMC Method NeurIPS 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021 Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Random Coordinate Langevin Monte Carlo COLT 2021 Replica Exchange for Non-Convex Optimization JMLR 2021 Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 Taming GANs with Lookahead-Minmax ICLR 2021 The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication COLT 2021 Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NeurIPS 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Understanding the effects of data parallelism and sparsity on neural network training ICLR 2021 Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients ICLR 2021 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020 An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint AAAI 2020 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 Decentralized Langevin Dynamics for Bayesian Learning NeurIPS 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction NeurIPS 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020 Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling NeurIPS 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020 Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function NeurIPS 2020