conftrace_

block coordinate descent

64 papers

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Also known as

BCD

Co-occurring keywords

convex optimization (1321) non-convex optimization (547) graphical model (864) sparse optimization (246) map inference (130) nonconvex optimization (316) coordinate descent (147) tensor decomposition (375) stochastic optimization (1060) block-coordinate descent (11)

Papers

Score-Based Model for Low-Rank Tensor Recovery AAAI 2026
Distributed Kernel-Driven Data Clustering JMLR 2024
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NIPS 2024
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport JMLR 2024
Sensitivity-Free Gradient Descent Algorithms JMLR 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023
Clustering High-dimensional Data with Ordered Weighted $\ell_1$ Regularization AISTATS 2023
Balanced Self-Paced Learning for AUC Maximization AAAI 2022
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022
Delay-Adaptive Step-sizes for Asynchronous Learning ICML 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021
Large-Scale Learning with Fourier Features and Tensor Decompositions NIPS 2021
Nonlinear System Identification via Tensor Completion AAAI 2020
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction AAAI 2020
Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020