conftrace_

global optimization

151 papers

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Co-occurring keywords

bayesian optimization (624) branch and bound (119) convex optimization (1321) acquisition function (129) neural network (6616) combinatorial optimization (1039) semidefinite programming (147) black-box optimization (183) 3d reconstruction (2253) gaussian process (1200)

Papers

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming NIPS 2023
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Global Optimization with Parametric Function Approximation ICML 2023
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023
Neural Simulated Annealing AISTATS 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos AAAI 2023
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation WACV 2023
PROTES: Probabilistic Optimization with Tensor Sampling NIPS 2023
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming AAAI 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
Global Optimal K-Medoids Clustering of One Million Samples NIPS 2022
Human-AI Collaborative Bayesian Optimisation NIPS 2022
Improved Imaging by Invex Regularizers with Global Optima Guarantees NIPS 2022
Interlocking Backpropagation: Improving depthwise model-parallelism JMLR 2022
Global Optimization Networks ICML 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Global Optimization of K-Center Clustering ICML 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NIPS 2022
Triangulation candidates for Bayesian optimization NIPS 2022
GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree NIPS 2022
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems ICML 2021
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021
AligNarr: Aligning Narratives on Movies IJCNLP 2021