global convergence

Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023 Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023 Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NeurIPS 2023 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023 A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022 A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning AISTATS 2022 Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms AISTATS 2022 Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks NeurIPS 2022 EM’s Convergence in Gaussian Latent Tree Models COLT 2022 Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022 Global Convergence and Stability of Stochastic Gradient Descent NeurIPS 2022 Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NeurIPS 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 On feature learning in neural networks with global convergence guarantees ICLR 2022 On the Global Optimum Convergence of Momentum-based Policy Gradient AISTATS 2022 The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks COLT 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 A Recipe for Global Convergence Guarantee in Deep Neural Networks AAAI 2021 Continuous vs. Discrete Optimization of Deep Neural Networks NeurIPS 2021 Dynamical Pose Estimation ICCV 2021 Generalized Shuffled Linear Regression ICCV 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021 Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization NeurIPS 2021