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Continuous Optimization

4,424 papers

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Papers

Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods NeurIPS 2021 Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021 Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization WACV 2021 Fast Projection Onto Convex Smooth Constraints ICML 2021 Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics NeurIPS 2021 Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps CVPR 2021 Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021 Fast Statistical Leverage Score Approximation in Kernel Ridge Regression AISTATS 2021 Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NeurIPS 2021 Federated Composite Optimization ICML 2021 Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021 Few-Shot Data-Driven Algorithms for Low Rank Approximation NeurIPS 2021 Field of Junctions: Extracting Boundary Structure at Low SNR ICCV 2021 Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games AAAI 2021 Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function AISTATS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021 Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion AAAI 2021 Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates AISTATS 2021 Generalized Shuffled Linear Regression ICCV 2021 Generalized Spectral Clustering via Gromov-Wasserstein Learning AISTATS 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021