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

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions AAAI 2026
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors CVPR 2025
Certifiably Optimal Anisotropic Rotation Averaging ICCV 2025
Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal IJCAI 2025
Progressive Correspondence Regenerator for Robust 3D Registration CVPR 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments CVPR 2024
Sample-and-Bound for Non-convex Optimization AAAI 2024
Efficient Combinatorial Optimization via Heat Diffusion NIPS 2024
Multiway Point Cloud Mosaicking with Diffusion and Global Optimization CVPR 2024
Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization CVPR 2024
Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models EMNLP 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance NIPS 2024
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models CONLL 2024
Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization AAAI 2024
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals CVPR 2024
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming AAAI 2023
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023
Neural Simulated Annealing AISTATS 2023
GloptiNets: Scalable Non-Convex Optimization with Certificates NIPS 2023