Global Optimization

Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback AAAI 2022 RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging CVPR 2022 The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound NeurIPS 2022 Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NeurIPS 2021 A Scalable Deterministic Global Optimization Algorithm for Clustering Problems ICML 2021 Batch Reinforcement Learning Through Continuation Method ICLR 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Choosing the Right Algorithm With Hints From Complexity Theory IJCAI 2021 Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021 Enabling long-range exploration in minimization of multimodal functions UAI 2021 Exact and approximate hierarchical clustering using A* UAI 2021 Heuristic Search for Approximating One Matrix in Terms of Another Matrix IJCAI 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach CVPR 2021 Hyperparameter Optimization via Sequential Uniform Designs JMLR 2021 Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NeurIPS 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021 Optimizing persistent homology based functions ICML 2021 Q-Match: Iterative Shape Matching via Quantum Annealing ICCV 2021 Replica Exchange for Non-Convex Optimization JMLR 2021 Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging CVPR 2021 Rotation-Only Bundle Adjustment CVPR 2021