variance reduction

Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Trust Region Sequential Variational Inference ACML 2019 Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019 Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Variance Reduction for Matrix Games NeurIPS 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 Variance Reduction in Bipartite Experiments through Correlation Clustering NeurIPS 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 D^2: Decentralized Training over Decentralized Data ICML 2018 Accelerated Stochastic Power Iteration AISTATS 2018 Action-dependent Control Variates for Policy Optimization via Stein Identity ICLR 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Backpropagation through the Void: Optimizing control variates for black-box gradient estimation ICLR 2018 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018 Breaking the Span Assumption Yields Fast Finite-Sum Minimization NeurIPS 2018 Clipped Action Policy Gradient ICML 2018 Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018 Distributed Stochastic Optimization via Adaptive SGD NeurIPS 2018 Fast Variance Reduction Method with Stochastic Batch Size ICML 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018 Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches ICLR 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018