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conftrace_

coordinate descent

159 papers

CD

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