local optimum

Finding One Local Optimum Is Easy—but What About Two? AAAI 2026 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator IJCAI 2025 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization IJCAI 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024 Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation IJCAI 2023 Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning ICLR 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria ICML 2022 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021 When random initializations help: a study of variational inference for community detection JMLR 2021 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019 Adversarially Occluded Samples for Person Re-Identification CVPR 2018 Benefits of over-parameterization with EM NeurIPS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Step Size Matters in Deep Learning NeurIPS 2018 Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 Efficient Regret Minimization in Non-Convex Games ICML 2017 On the Optimization Landscape of Tensor Decompositions NeurIPS 2017