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Continuous Optimization

4,424 papers

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Papers

Triangulation candidates for Bayesian optimization NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NeurIPS 2022 TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm ICML 2022 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022 Understanding Riemannian Acceleration via a Proximal Extragradient Framework COLT 2022 Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors ICML 2022 Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022 VectorAdam for Rotation Equivariant Geometry Optimization NeurIPS 2022 Wasserstein K-means for clustering probability distributions NeurIPS 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 Will Bilevel Optimizers Benefit from Loops NeurIPS 2022 Word-Label Alignment for Event Detection: A New Perspective via Optimal Transport NAACL 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 A Blind Block Term Decomposition of High Order Tensors AAAI 2021 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021 Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent JMLR 2021 Acceleration via Fractal Learning Rate Schedules ICML 2021 A Continuous Mapping For Augmentation Design NeurIPS 2021 Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality ICML 2021