conftrace_

coordinate descent

147 papers

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Also known as

CD

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) convergence rate (607) optimization algorithm (148) empirical risk minimization (352) l1 regularization (87) sparse optimization (246) linear convergence (158) feature selection (649) stochastic gradient descent (1091)

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
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NIPS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 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
Coordinate Descent Methods for Fractional Minimization ICML 2023
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games NIPS 2023
Coordinate Descent for SLOPE AISTATS 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NIPS 2023
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
Coordinate Linear Variance Reduction for Generalized Linear Programming NIPS 2022
Fast Stagewise Sparse Factor Regression JMLR 2022
Functional Linear Regression with Mixed Predictors JMLR 2022
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021