Continuous Optimization
4,424 papers
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Papers
Fast Algorithms for Sparse Reduced-Rank Regression
AISTATS 2019
Fast and Accurate Least-Mean-Squares Solvers
NeurIPS 2019
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Fast and Provable ADMM for Learning with Generative Priors
NeurIPS 2019
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
ICML 2019
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
NeurIPS 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
AISTATS 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
ICML 2019
Faster width-dependent algorithm for mixed packing and covering LPs
NeurIPS 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
NeurIPS 2019
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
AAAI 2019
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
NeurIPS 2019
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
UAI 2019
Fast Sparse Group Lasso
NeurIPS 2019
Fast structure learning with modular regularization
NeurIPS 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
ICML 2019
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
NeurIPS 2019
FRAME Revisited: An Interpretation View Based on Particle Evolution
AAAI 2019
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
AAAI 2019
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems
ICCV 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
ICML 2019
Generalized Majorization-Minimization
ICML 2019
Generalized Potential Heuristics for Classical Planning
IJCAI 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
NeurIPS 2019
GENO -- GENeric Optimization for Classical Machine Learning
NeurIPS 2019