Co-occurring keywords · papers mentioning both
Papers
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
JMLR 2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data
AAAI 2025
Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO
JMLR 2025
Optimizing Parameters of Quantum Circuits with Sparsity-Inducing Coordinate Descent
IJCAI 2025
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
ICML 2025
A fast algorithm to simulate nonlinear resistive networks
ICML 2024
Convergence of Some Convex Message Passing Algorithms to a Fixed Point
ICML 2024
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
ICML 2024
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
NeurIPS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
NeurIPS 2024
Riemannian coordinate descent algorithms on matrix manifolds
ICML 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent
AISTATS 2024
Wasserstein Proximal Coordinate Gradient Algorithms
JMLR 2024
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
NeurIPS 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
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
NeurIPS 2023
Efficient Top-K Feature Selection Using Coordinate Descent Method
AAAI 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
JMLR 2023
Particle algorithms for maximum likelihood training of latent variable models
AISTATS 2023
Towards Stable and Efficient Adversarial Training against l_1 Bounded Adversarial Attacks
ICML 2023
Beyond L1: Faster and Better Sparse Models with skglm
NeurIPS 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training
AAAI 2022
Coordinate Linear Variance Reduction for Generalized Linear Programming
NeurIPS 2022