Continuous Optimization
4,424 papers
Papers per year
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Papers
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
ICML 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters
NeurIPS 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
AutoML 2023
Computing Approximate ℓ_p Sensitivities
NeurIPS 2023
Conjugate Gradient Method for Generative Adversarial Networks
AISTATS 2023
Constrained Market Share Maximization by Signal-Guided Optimization
AAAI 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
ICCV 2023
Continuation Path Learning for Homotopy Optimization
ICML 2023
Continuous-time Analysis of Anchor Acceleration
NeurIPS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
NeurIPS 2023
Convergence of Alternating Gradient Descent for Matrix Factorization
NeurIPS 2023
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data
ICML 2023
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
NeurIPS 2023
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
AISTATS 2023
Convex Geometric Motion Planning on Lie Groups via Moment Relaxation
RSS 2023
Coordinate Descent for SLOPE
AISTATS 2023
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence
AAAI 2023
Coordinate Descent Methods for Fractional Minimization
ICML 2023
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
NeurIPS 2023
Coupled Variational Autoencoder
ICML 2023
Curvature and complexity: Better lower bounds for geodesically convex optimization
COLT 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
NeurIPS 2023