conftrace_

alternating direction method of multiplier

145 papers

Explore in graph

Co-occurring keywords

convex optimization (1321) distributed optimization (275) stochastic optimization (1060) alternating direction method (35) convergence rate (607) sparse optimization (246) markov random field (303) distributed learning (563) sparse estimation (88) convergence analysis (395)

Papers

VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing ICML 2020
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
Minimum Volume Topic Modeling AISTATS 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NIPS 2019
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NIPS 2019
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation CVPR 2019
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters CVPR 2019
Compressing Convolutional Neural Networks via Factorized Convolutional Filters CVPR 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Hamiltonian descent for composite objectives NIPS 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019
Generative modeling for protein structures NIPS 2018