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global convergence

111 papers

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policy gradient (518) non-convex optimization (546) gradient descent (1143) stochastic gradient descent (1088) neural network (6616) neural network optimization (1293) convergence rate (606) convex optimization (1320) sample complexity (1158) expectation maximization (254)

Papers

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021
A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021
Generalized Shuffled Linear Regression ICCV 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths ICML 2021
Continuous vs. Discrete Optimization of Deep Neural Networks NIPS 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021
Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NIPS 2021
Subquadratic Overparameterization for Shallow Neural Networks NIPS 2021
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization NIPS 2021
Global Convergence of Online Optimization for Nonlinear Model Predictive Control NIPS 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
Dynamical Pose Estimation ICCV 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift JMLR 2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method NIPS 2021
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth ICML 2020
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology NIPS 2020
Convex optimization based on global lower second-order models NIPS 2020
DINO: Distributed Newton-Type Optimization Method ICML 2020
Learning Feature Sparse Principal Subspace NIPS 2020
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers ICML 2020
Optimization Learning: Perspective, Method, and Applications IJCAI 2020
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020
From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020