"large-scale optimization" Papers

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Cauchy-Schwarz Regularizers

Sueda Taner, Ziyi Wang, Christoph Studer

ICLR 2025arXiv:2503.01639

Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling

Yuma Ichikawa, Yamato Arai

ICLR 2025arXiv:2409.02135

Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?

Yilong Wang, Haishan Ye, Guang Dai et al.

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching

Rico Angell, Andrew McCallum

ICML 2024arXiv:2312.11801

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.

AAAI 2024paperarXiv:2404.01200

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Bingheng Li, Linxin Yang, Yupeng Chen et al.

ICML 2024arXiv:2406.01908

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment

Simon Weber, Je Hyeong Hong, Daniel Cremers

ECCV 2024arXiv:2405.05079

Quality-Diversity with Limited Resources

Ren-Jian Wang, Ke Xue, Cong Guan et al.

ICML 2024arXiv:2406.03731