Global Optimization
200 papers
Papers per year
1
1
1
2
5
2
5
8
9
13
11
11
17
11
22
16
21
23
17
4
'10
'15
'20
'25
Papers
Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization
AAAI 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization
AISTATS 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
AAAI 2024
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
NeurIPS 2024
How to Use the Metropolis Algorithm for Multi-Objective Optimization?
AAAI 2024
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
IJCAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
JMLR 2024
Quantum Algorithms for Non-smooth Non-convex Optimization
NeurIPS 2024
Rectangle Search: An Anytime Beam Search
AAAI 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning
JMLR 2024
Sample-and-Bound for Non-convex Optimization
AAAI 2024
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
CVPR 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon
AAAI 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
NeurIPS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
AISTATS 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds
NeurIPS 2024
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
ICML 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations
ACML 2023
Adaptive Algorithms for Relaxed Pareto Set Identification
NeurIPS 2023
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)
IJCAI 2023
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos
AAAI 2023
A Novel Integer Linear Programming Approach for Global L0 Minimization
JMLR 2023