Methods › General › Generalized Linear Models › Logistic Regression › Papers, page 19

Logistic Regression

Papers archive 2025-07-28

archive papers tagged: 1,886 · with a code link: 461 · where Syntology ran a sample: 62 (48 with a run with no instrument failure, 14 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (62 of 1,886 tagged: 48 with a run with no instrument failure, 14 where every run was a failure of Syntology's instrument)

Page 19 of 19: papers 1,801 to 1,886 of 1,886, 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.

• Sub-sampled Newton Methods with Non-uniform Sampling
  2 Jul 2016 · 0 repositories · arXiv:1607.00559
• A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression
  1 Jul 2016 · 0 repositories · arXiv:1607.00315
• A Learning Algorithm for Relational Logistic Regression: Preliminary Results
  28 Jun 2016 · 0 repositories · arXiv:1606.08531
• Muffled Semi-Supervised Learning
  28 May 2016 · 1 repository · arXiv:1605.08833
• Data Programming: Creating Large Training Sets, Quickly
  25 May 2016 · 4 repositories · arXiv:1605.07723
  Syntology 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 8 harvested samples)
• Coresets for Scalable Bayesian Logistic Regression
  20 May 2016 · 2 repositories · arXiv:1605.06423
• Tweet Acts: A Speech Act Classifier for Twitter
  17 May 2016 · 0 repositories · arXiv:1605.05156
• An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments
  3 May 2016 · 0 repositories · arXiv:1605.01116
• 3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder
  30 Apr 2016 · 0 repositories · arXiv:1605.00129
• Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression
  27 Apr 2016 · 0 repositories · arXiv:1604.08098
• Developing an ICU scoring system with interaction terms using a genetic algorithm
  22 Apr 2016 · 0 repositories · arXiv:1604.06730
• DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
  16 Apr 2016 · 1 repository · arXiv:1604.04706
• Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
  14 Apr 2016 · 0 repositories · arXiv:1604.04144
• Classifying Syntactic Regularities for Hundreds of Languages
  25 Mar 2016 · 0 repositories · arXiv:1603.08016
• Developing Quantum Annealer Driven Data Discovery
  25 Mar 2016 · 0 repositories · arXiv:1603.07980
• Authenticating users through their arm movement patterns
  7 Mar 2016 · 0 repositories · arXiv:1603.02211
• Detection of Cooperative Interactions in Logistic Regression Models
  12 Feb 2016 · 0 repositories · arXiv:1602.03963
• Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
  9 Feb 2016 · 0 repositories · arXiv:1602.02915
• Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
  8 Feb 2016 · 0 repositories · arXiv:1602.02685
• Fantastic 4 system for NIST 2015 Language Recognition Evaluation
  5 Feb 2016 · 0 repositories · arXiv:1602.01929
• Feature Representation for ICU Mortality
  16 Dec 2015 · 0 repositories · arXiv:1512.05294
• Fast Classification Rates for High-dimensional Gaussian Generative Models
  1 Dec 2015 · 0 repositories
• Fast Second Order Stochastic Backpropagation for Variational Inference
  1 Dec 2015 · 0 repositories
• Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
  1 Dec 2015 · 1 repository
• Distributed Machine Learning via Sufficient Factor Broadcasting
  26 Nov 2015 · 0 repositories · arXiv:1511.08486
• Exploring Correlation between Labels to improve Multi-Label Classification
  25 Nov 2015 · 0 repositories · arXiv:1511.07953
• L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria
  20 Nov 2015 · 0 repositories · arXiv:1511.06663
• A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
  18 Nov 2015 · 0 repositories · arXiv:1511.05643
• The Wilson Machine for Image Modeling
  27 Oct 2015 · 0 repositories · arXiv:1510.07740
• Distributed Parameter Map-Reduce
  3 Oct 2015 · 0 repositories · arXiv:1510.00817
• Distributionally Robust Logistic Regression
  30 Sep 2015 · 0 repositories · arXiv:1509.09259
• Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance
  9 Sep 2015 · 0 repositories · arXiv:1509.02604
• Fast Second-Order Stochastic Backpropagation for Variational Inference
  9 Sep 2015 · 0 repositories · arXiv:1509.02866
• Bayesian Dropout
  12 Aug 2015 · 0 repositories · arXiv:1508.02905
• Dropout Training for SVMs with Data Augmentation
  10 Aug 2015 · 0 repositories · arXiv:1508.02268
• Scalable MCMC for Large Data Problems using Data Subsampling and the Difference Estimator
  10 Jul 2015 · 0 repositories · arXiv:1507.02971
• ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
  8 Jun 2015 · 1 repository · arXiv:1506.02396
• Predicting Eye Fixations Using Convolutional Neural Networks
  1 Jun 2015 · 0 repositories
• CURL: Co-trained Unsupervised Representation Learning for Image Classification
  29 May 2015 · 0 repositories · arXiv:1505.08098
• Comparing methods for Twitter Sentiment Analysis
  12 May 2015 · 0 repositories · arXiv:1505.02973
• A mixture Cox-Logistic model for feature selection from survival and classification data
  5 Feb 2015 · 0 repositories · arXiv:1502.01493
• Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
  1 Jan 2015 · 0 repositories · arXiv:1501.00263
• Communication Efficient Distributed Machine Learning with the Parameter Server
  1 Dec 2014 · 0 repositories
• Distributed Bayesian Posterior Sampling via Moment Sharing
  1 Dec 2014 · 0 repositories
• Multi-Class Deep Boosting
  1 Dec 2014 · 0 repositories
• Robust Logistic Regression and Classification
  1 Dec 2014 · 0 repositories
• PLUTO: Penalized Unbiased Logistic Regression Trees
  25 Nov 2014 · 0 repositories · arXiv:1411.6948
• Distributed Coordinate Descent for L1-regularized Logistic Regression
  24 Nov 2014 · 1 repository · arXiv:1411.6520
• An Aggregation Method for Sparse Logistic Regression
  25 Oct 2014 · 0 repositories · arXiv:1410.6959
• The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets
  22 Sep 2014 · 0 repositories · arXiv:1409.6075
• Distributed Machine Learning via Sufficient Factor Broadcasting
  19 Sep 2014 · 0 repositories · arXiv:1409.5705
• Building Program Vector Representations for Deep Learning
  11 Sep 2014 · 1 repository · arXiv:1409.3358
• Action Classification with Locality-constrained Linear Coding
  17 Aug 2014 · 0 repositories · arXiv:1408.3810
• Volumes of logistic regression models with applications to model selection
  5 Aug 2014 · 0 repositories · arXiv:1408.0881
• Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases
  30 Jul 2014 · 0 repositories · arXiv:1407.8067
• Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection
  13 May 2014 · 1 repository · arXiv:1405.3319
• Sparse Bilinear Logistic Regression
  15 Apr 2014 · 0 repositories · arXiv:1404.4104
• Multiview Hessian regularized logistic regression for action recognition
  3 Mar 2014 · 0 repositories · arXiv:1403.0829
• Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
  18 Feb 2014 · 0 repositories · arXiv:1402.4419
• A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification
  30 Dec 2013 · 0 repositories · arXiv:1312.7750
• Manifold regularized kernel logistic regression for web image annotation
  21 Dec 2013 · 0 repositories · arXiv:1312.6180
• Learning with Noisy Labels
  1 Dec 2013 · 0 repositories
• Likelihood-ratio calibration using prior-weighted proper scoring rules
  30 Jul 2013 · 0 repositories · arXiv:1307.7981
• A Safe Screening Rule for Sparse Logistic Regression
  16 Jul 2013 · 0 repositories · arXiv:1307.4145
• Parallel Coordinate Descent Newton Method for Efficient ℓ₁-Regularized Minimization
  18 Jun 2013 · 1 repository · arXiv:1306.4080
• Robust Logistic Regression using Shift Parameters (Long Version)
  21 May 2013 · 0 repositories · arXiv:1305.4987
• Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization
  3 May 2013 · 0 repositories · arXiv:1305.0698
• Infinitely imbalanced binomial regression and deformed exponential families
  29 Mar 2013 · 0 repositories · arXiv:1303.7297
• Efficiently Using Second Order Information in Large l1 Regularization Problems
  27 Mar 2013 · 0 repositories · arXiv:1303.6935
• Experiments Using Belief Functions and Weights of Evidence incorporating Statistical Data and Expert Opinions
  27 Mar 2013 · 0 repositories · arXiv:1304.1519
• Learning as MAP Inference in Discrete Graphical Models
  1 Dec 2012 · 0 repositories
• Local Supervised Learning through Space Partitioning
  1 Dec 2012 · 0 repositories
• One Permutation Hashing
  1 Dec 2012 · 0 repositories
• Gene selection with guided regularized random forest
  28 Sep 2012 · 0 repositories · arXiv:1209.6425
• Sharp analysis of low-rank kernel matrix approximations
  9 Aug 2012 · 0 repositories · arXiv:1208.2015
• Variational Bayesian Inference with Stochastic Search
  27 Jun 2012 · 0 repositories · arXiv:1206.6430
• Confidence Sets for Network Structure
  1 Dec 2011 · 0 repositories
• Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
  1 Dec 2011 · 0 repositories
• Statistical Tests for Optimization Efficiency
  1 Dec 2011 · 0 repositories
• Bayesian Learning via Stochastic Gradient Langevin Dynamics
  28 Jul 2011 · 2 repositories
• Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
  1 Dec 2010 · 0 repositories
• t-logistic regression
  1 Dec 2010 · 0 repositories
• Bregman Distance to L1 Regularized Logistic Regression
  21 Apr 2010 · 0 repositories · arXiv:1004.3814
• Heterogeneous multitask learning with joint sparsity constraints
  1 Dec 2009 · 0 repositories
• Sparsistent Estimation of Time-Varying Discrete Markov Random Fields
  14 Jul 2009 · 0 repositories · arXiv:0907.2337
• Privacy-preserving logistic regression
  1 Dec 2008 · 0 repositories