global convergence

Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025 A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents ICML 2025 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations AISTATS 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025 Global Convergence of Policy Gradient in Average Reward MDPs ICLR 2025 Improving Stochastic Cubic Newton with Momentum AISTATS 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025 Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence ICML 2025 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 An Iterative Min-Min Optimization Method for Sparse Bayesian Learning ICML 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Implicit regularization of deep residual networks towards neural ODEs ICLR 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning NeurIPS 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization ICML 2024 Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NeurIPS 2024 Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming UAI 2024