global convergence

Global Convergence of Online Optimization for Nonlinear Model Predictive Control NeurIPS 2021 Global Convergence of Three-layer Neural Networks in the Mean Field Regime ICLR 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method NeurIPS 2021 On the Impossibility of Global Convergence in Multi-Loss Optimization ICLR 2021 On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths ICML 2021 On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers ICLR 2021 On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy ICLR 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Subquadratic Overparameterization for Shallow Neural Networks NeurIPS 2021 Understanding Over-parameterization in Generative Adversarial Networks ICLR 2021 When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020 A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth ICML 2020 Convex optimization based on global lower second-order models NeurIPS 2020 DINO: Distributed Newton-Type Optimization Method ICML 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020 Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NeurIPS 2020 Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology NeurIPS 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020