optimality gap

Data-driven Acceleration of MPC with Guarantees L4DC 2026 Delay as Payoff in MAB AAAI 2025 Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap AAAI 2025 Neural Solver Selection for Combinatorial Optimization ICML 2025 Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity ICLR 2025 Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time ICML 2024 Dual Lagrangian Learning for Conic Optimization NeurIPS 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems ICLR 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption NeurIPS 2023 Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 Corruption-robust Offline Reinforcement Learning AISTATS 2022 Global Optimization of K-Center Clustering ICML 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum AAAI 2022 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NeurIPS 2022 On the Optimality Gap of Warm-Started Hyperparameter Optimization AutoML 2022 Learning Optimal Predictive Checklists NeurIPS 2021