global optimality

Globally Optimal Pose from Orthographic Silhouettes CVPR 2026 Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization ICML 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025 Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality AISTATS 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study ICLR 2025 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes ICML 2024 Global Optimality for Non-linear Constrained Restoration Problems via Invexity ICLR 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024 SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency CVPR 2024 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Global optimality of Elman-type RNNs in the mean-field regime ICML 2023 Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023 An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming ICML 2022 Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NeurIPS 2022 Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch JMLR 2022 On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features ICML 2022 Policy Gradient Method For Robust Reinforcement Learning ICML 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NeurIPS 2022 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs ICML 2021 Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime ICLR 2021