global convergence

On the Global Convergence of Training Deep Linear ResNets ICLR 2020 Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Optimization Theory for ReLU Neural Networks Trained with Normalization Layers ICML 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 SGD Learns One-Layer Networks in WGANs ICML 2020 A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces ICML 2019 An Improved Analysis of Training Over-parameterized Deep Neural Networks NeurIPS 2019 Blind Demixing via Wirtinger Flow with Random Initialization AISTATS 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks NeurIPS 2019 Global Convergence of Gradient Descent for Deep Linear Residual Networks NeurIPS 2019 Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NeurIPS 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019 Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Neural Temporal-Difference Learning Converges to Global Optima NeurIPS 2019 Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NeurIPS 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NeurIPS 2019 Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost NeurIPS 2019 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018