local optima

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025 Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator IJCAI 2025 TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack ICML 2025 Big Learning Expectation Maximization AAAI 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 Extremely Greedy Equivalence Search UAI 2024 How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024 Smooth Min-Max Monotonic Networks ICML 2024 Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) AAAI 2023 Insights into Ordinal Embedding Algorithms: A Systematic Evaluation JMLR 2023 Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NeurIPS 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 Escaping Local Optima with Non-Elitist Evolutionary Algorithms AAAI 2021 Temporally-Extended ε-Greedy Exploration ICLR 2021 A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019 Benefits of over-parameterization with EM NeurIPS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Proximity Variational Inference AISTATS 2018 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012