Methods › General › Optimization › ADMM › Papers, page 3

Alternating Direction Method of Multipliers

ADMM

Papers archive 2025-07-28

archive papers tagged: 398 · with a code link: 97 · where Syntology ran a sample: 15 (13 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (15 of 398 tagged: 13 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)

Page 3 of 4: papers 201 to 300 of 398, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
  14 Sep 2020 · 0 repositories · arXiv:2009.06459
• Alternating Direction Method of Multipliers for Quantization
  8 Sep 2020 · 0 repositories · arXiv:2009.03482
• An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks
  6 Sep 2020 · 0 repositories · arXiv:2009.02825
• Distributed Optimization, Averaging via ADMM, and Network Topology
  5 Sep 2020 · 1 repository · arXiv:2009.02604
• Privacy-Preserving Distributed Zeroth-Order Optimization
  31 Aug 2020 · 0 repositories · arXiv:2008.13468
• Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
  11 Aug 2020 · 0 repositories · arXiv:2008.04500
• Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
  4 Aug 2020 · 0 repositories · arXiv:2008.01296
• On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM
  6 Jul 2020 · 1 repository · arXiv:2007.02916
• Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
  3 Jul 2020 · 0 repositories · arXiv:2007.01790
• An Efficient Smoothing Proximal Gradient Algorithm for Convex Clustering
  22 Jun 2020 · 0 repositories · arXiv:2006.12592
• A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
  20 Jun 2020 · 0 repositories · arXiv:2006.11630
• Certifying clusters from sum-of-norms clustering
  19 Jun 2020 · 0 repositories · arXiv:2006.11355
• Solving Constrained CASH Problems with ADMM
  17 Jun 2020 · 0 repositories · arXiv:2006.09635
• P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach
  10 Jun 2020 · 1 repository · arXiv:2006.05622
• Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation
  16 May 2020 · 0 repositories · arXiv:2005.07890
• Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
  14 May 2020 · 0 repositories · arXiv:2005.07151
• A Machine Learning Based Framework for the Smart Healthcare Monitoring
  4 Apr 2020 · 0 repositories · arXiv:2004.03360
• A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework
  13 Mar 2020 · 0 repositories · arXiv:2003.06513
• Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
  7 Mar 2020 · 0 repositories · arXiv:2003.03532
• Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
  22 Feb 2020 · 1 repository · arXiv:2002.09611
• Statistical Optimal Transport posed as Learning Kernel Embedding
  8 Feb 2020 · 0 repositories · arXiv:2002.03179
• Simultaneous prediction and community detection for networks with application to neuroimaging
  5 Feb 2020 · 1 repository · arXiv:2002.01645
• BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
  23 Jan 2020 · 0 repositories · arXiv:2001.08357
• PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
  1 Jan 2020 · 0 repositories · arXiv:2001.00138
• Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data
  11 Dec 2019 · 0 repositories · arXiv:1912.05449
• An Accelerated Correlation Filter Tracker
  5 Dec 2019 · 0 repositories · arXiv:1912.02854
• A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
  1 Dec 2019 · 0 repositories
• A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression
  1 Dec 2019 · 1 repository
• Decentralized sketching of low rank matrices
  1 Dec 2019 · 0 repositories
• Fast Polynomial Kernel Classification for Massive Data
  24 Nov 2019 · 1 repository · arXiv:1911.10558
• Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data
  24 Nov 2019 · 1 repository · arXiv:1911.10454
• Nonconvex Stochastic Nested Optimization via Stochastic ADMM
  12 Nov 2019 · 0 repositories · arXiv:1911.05167
• L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning
  9 Nov 2019 · 0 repositories · arXiv:1911.03654
• Learning-Accelerated ADMM for Distributed Optimal Power Flow
  8 Nov 2019 · 0 repositories · arXiv:1911.03019
• Deep Learning for space-variant deconvolution in galaxy surveys
  1 Nov 2019 · 0 repositories · arXiv:1911.00443
• On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM
  31 Oct 2019 · 0 repositories · arXiv:1910.14325
• A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
  28 Oct 2019 · 1 repository · arXiv:1910.12778
• Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
  23 Oct 2019 · 0 repositories · arXiv:1910.10453
• Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal
  18 Oct 2019 · 0 repositories · arXiv:1910.08206
• Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
  15 Oct 2019 · 0 repositories · arXiv:1910.07056
• Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity
  10 Oct 2019 · 0 repositories · arXiv:1910.04366
• Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
  8 Oct 2019 · 0 repositories · arXiv:1910.04581
• Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function
  1 Oct 2019 · 0 repositories
• Deep Tensor ADMM-Net for Snapshot Compressive Imaging
  1 Oct 2019 · 0 repositories
• Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM
  24 Sep 2019 · 0 repositories · arXiv:1909.10819
• Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization
  18 Sep 2019 · 0 repositories · arXiv:1909.08180
• Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
  15 Sep 2019 · 0 repositories · arXiv:1909.06724
• Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
  13 Sep 2019 · 1 repository · arXiv:1909.06148
• An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
  29 Aug 2019 · 0 repositories · arXiv:1908.11691
• Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
  27 Aug 2019 · 0 repositories · arXiv:1908.10017
• Differential Privacy for Sparse Classification Learning
  2 Aug 2019 · 0 repositories · arXiv:1908.00780
• Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization
  2 Aug 2019 · 0 repositories · arXiv:1908.00865
• Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
  30 Jul 2019 · 0 repositories · arXiv:1907.13463
• Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
  30 Jul 2019 · 0 repositories · arXiv:1908.01059
• Inertial nonconvex alternating minimizations for the image deblurring
  27 Jul 2019 · 0 repositories · arXiv:1907.12945
• On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
  26 Jul 2019 · 1 repository · arXiv:1907.11684
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Learning Privately over Distributed Features: An ADMM Sharing Approach
  17 Jul 2019 · 0 repositories · arXiv:1907.07735
• Minimal Sample Subspace Learning: Theory and Algorithms
  13 Jul 2019 · 0 repositories · arXiv:1907.06032
• Two-block vs. Multi-block ADMM: An empirical evaluation of convergence
  10 Jul 2019 · 0 repositories · arXiv:1907.04524
• On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems
  3 Jul 2019 · 1 repository · arXiv:1907.01995
• Hierarchical Optimal Transport for Multimodal Distribution Alignment
  27 Jun 2019 · 2 repositories · arXiv:1906.11768
• Optimized Score Transformation for Consistent Fair Classification
  31 May 2019 · 0 repositories · arXiv:1906.00066
• ADMM for Efficient Deep Learning with Global Convergence
  31 May 2019 · 1 repository · arXiv:1905.13611
• Clustered Gaussian Graphical Model via Symmetric Convex Clustering
  30 May 2019 · 0 repositories · arXiv:1905.13251
• Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
  29 May 2019 · 0 repositories · arXiv:1905.12729
• Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
  28 May 2019 · 0 repositories · arXiv:1905.12032
• Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
  23 May 2019 · 0 repositories · arXiv:1905.11937
• Differentiable Linearized ADMM
  15 May 2019 · 1 repository · arXiv:1905.06179
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  14 May 2019 · 1 repository · arXiv:1905.05406
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• MAP Inference via L2-Sphere Linear Program Reformulation
  9 May 2019 · 1 repository · arXiv:1905.03433
• A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction
  2 May 2019 · 0 repositories · arXiv:1905.00934
• Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
  2 May 2019 · 0 repositories · arXiv:1905.00789
• ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
  30 Apr 2019 · 0 repositories · arXiv:1905.00136
• Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
  21 Apr 2019 · 0 repositories · arXiv:1904.09559
• Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
  23 Mar 2019 · 2 repositories · arXiv:1903.09769
• A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
  25 Feb 2019 · 0 repositories · arXiv:1902.09135
• Constrained Risk Budgeting Portfolios: Theory, Algorithms, Applications & Puzzles
  15 Feb 2019 · 1 repository · arXiv:1902.05710
• Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring
  9 Feb 2019 · 0 repositories · arXiv:1902.04062
• On ADMM in Deep Learning: Convergence and Saturation-Avoidance
  6 Feb 2019 · 1 repository · arXiv:1902.02060
• Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
  23 Jan 2019 · 1 repository · arXiv:1901.07827
• Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
  18 Jan 2019 · 0 repositories · arXiv:1901.06110
• Splitting Methods for Convex Bi-Clustering and Co-Clustering
  18 Jan 2019 · 0 repositories · arXiv:1901.06075
• Differentially Private ADMM for Distributed Medical Machine Learning
  7 Jan 2019 · 0 repositories · arXiv:1901.02094
• ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
  31 Dec 2018 · 1 repository · arXiv:1812.11677
• Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
  29 Dec 2018 · 0 repositories · arXiv:1812.11295
• Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization
  5 Nov 2018 · 0 repositories · arXiv:1811.01587
• A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model
  1 Nov 2018 · 2 repositories · arXiv:1811.00312
• Progressive Weight Pruning of Deep Neural Networks using ADMM
  17 Oct 2018 · 0 repositories · arXiv:1810.07378
• Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
  7 Oct 2018 · 0 repositories · arXiv:1810.03197
• Approximate message-passing for convex optimization with non-separable penalties
  17 Sep 2018 · 0 repositories · arXiv:1809.06304
• Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
  31 Aug 2018 · 0 repositories · arXiv:1809.00020
• DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
  30 Aug 2018 · 0 repositories · arXiv:1808.10101
• A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM
  13 Aug 2018 · 0 repositories · arXiv:1808.04048
• Structured Adversarial Attack: Towards General Implementation and Better Interpretability
  5 Aug 2018 · 1 repository · arXiv:1808.01664
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
  29 Jul 2018 · 1 repository · arXiv:1807.11091
• Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems
  18 Jul 2018 · 1 repository · arXiv:1807.07132
• Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
  6 Jun 2018 · 0 repositories · arXiv:1806.02246
• l0-norm Based Centers Selection for Training Fault Tolerant RBF Networks and Selecting Centers
  30 May 2018 · 0 repositories · arXiv:1805.11987
• RGB-T Object Tracking:Benchmark and Baseline
  23 May 2018 · 0 repositories · arXiv:1805.08982
• Structured nonlinear variable selection
  16 May 2018 · 1 repository · arXiv:1805.06258