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