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

Explicit Regularization of Stochastic Gradient Methods through Duality AISTATS 2021
Efficient greedy coordinate descent via variable partitioning UAI 2021
Stability and Generalization for Randomized Coordinate Descent IJCAI 2021
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
Expanding Boundaries of Gap Safe Screening JMLR 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging CVPR 2021
Anderson acceleration of coordinate descent AISTATS 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021
Random extrapolation for primal-dual coordinate descent ICML 2020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization ICML 2020
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling AISTATS 2020
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter AISTATS 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020
Dual Extrapolation for Sparse GLMs JMLR 2020
Dynamic Programming for Predict+Optimise AAAI 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019