high-dimensional optimization

Gradient Span Algorithms Make Predictable Progress in High Dimension JMLR 2026 BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025 Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave Manipulation UAI 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders ICLR 2025 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 An invariant information geometric method for high-dimensional online optimization L4DC 2024 A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences NeurIPS 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024 Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces NeurIPS 2023 Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection AutoML 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023 Two-stage Kernel Bayesian Optimization in High Dimensions UAI 2023 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NeurIPS 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AutoML 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022