Browse State-of-the-Art › Generalization Bounds › Papers, page 7

Generalization Bounds

Papers archive 2025-07-28

archive papers tagged: 686 · with a code link: 161 · where Syntology ran a sample: 55 (45 with a run with no instrument failure, 10 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (55 of 686 tagged: 45 with a run with no instrument failure, 10 where every run was a failure of Syntology's instrument)

Page 7 of 7: papers 601 to 686 of 686, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “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 figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. 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); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Chaining Mutual Information and Tightening Generalization Bounds
  11 Jun 2018 0 repositories listed
• Minnorm training: an algorithm for training over-parameterized deep neural networks
  3 Jun 2018 0 repositories listed
• Learning latent variable structured prediction models with Gaussian perturbations
  23 May 2018 0 repositories listed
• VC-Dimension Based Generalization Bounds for Relational Learning
  17 Apr 2018 0 repositories listed
• Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
  15 Apr 2018 0 repositories listed
• Data-dependent PAC-Bayes priors via differential privacy
  26 Feb 2018 0 repositories listed
• Stronger generalization bounds for deep nets via a compression approach
  14 Feb 2018 0 repositories listed
• To understand deep learning we need to understand kernel learning
  5 Feb 2018 0 repositories listed
• Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds
  25 Jan 2018 0 repositories listed
• Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
  1 Jan 2018 0 repositories listed
• Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy
  1 Jan 2018 0 repositories listed
• Lifelong Learning by Adjusting Priors
  1 Jan 2018 0 repositories listed
• Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
  26 Dec 2017 0 repositories listed
• How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View
  21 Dec 2017 0 repositories listed
• On the Discrimination-Generalization Tradeoff in GANs
  7 Nov 2017 0 repositories listed
• Sparsity, variance and curvature in multi-armed bandits
  3 Nov 2017 0 repositories listed
• SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
  27 Oct 2017 0 repositories listed
• Stability and Generalization of Learning Algorithms that Converge to Global Optima
  23 Oct 2017 0 repositories listed
• Boosting the kernelized shapelets: Theory and algorithms for local features
  5 Sep 2017 0 repositories listed
• A Nonlinear Kernel Support Matrix Machine for Matrix Learning
  20 Jul 2017 0 repositories listed
• Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
  19 Jul 2017 0 repositories listed
• PAC-Bayes and Domain Adaptation
  17 Jul 2017 0 repositories listed
• Data-dependent Generalization Bounds for Multi-class Classification
  29 Jun 2017 0 repositories listed
• An a Priori Exponential Tail Bound for k-Folds Cross-Validation
  19 Jun 2017 0 repositories listed
• Nuclear Discrepancy for Active Learning
  8 Jun 2017 0 repositories listed
• Learning from partial correction
  23 May 2017 0 repositories listed
• Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
  23 May 2017 0 repositories listed
• Minimax Statistical Learning with Wasserstein Distances
  22 May 2017 0 repositories listed
• The Landscape of Deep Learning Algorithms
  19 May 2017 0 repositories listed
• Mass Volume Curves and Anomaly Ranking
  3 May 2017 0 repositories listed
• On the benefits of output sparsity for multi-label classification
  14 Mar 2017 0 repositories listed
• A Theory of Output-Side Unsupervised Domain Adaptation
  5 Mar 2017 0 repositories listed
• Data-Dependent Stability of Stochastic Gradient Descent
  5 Mar 2017 0 repositories listed
• Learning Kernels with Random Features
  1 Dec 2016 0 repositories listed
• Generalization Bounds for Weighted Automata
  25 Oct 2016 0 repositories listed
• Kernel Ridge Regression via Partitioning
  5 Aug 2016 0 repositories listed
• Distribution-dependent concentration inequalities for tighter generalization bounds
  19 Jul 2016 0 repositories listed
• Multi-task and Lifelong Learning of Kernels
  21 Feb 2016 0 repositories listed
• The Structured Weighted Violations Perceptron Algorithm
  9 Feb 2016 0 repositories listed
• Loss factorization, weakly supervised learning and label noise robustness
  8 Feb 2016 0 repositories listed
• Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes
  3 Jan 2016 0 repositories listed
• Foundations of Coupled Nonlinear Dimensionality Reduction
  29 Sep 2015 0 repositories listed
• A study of the classification of low-dimensional data with supervised manifold learning
  21 Jul 2015 0 repositories listed
• Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
  14 Jun 2015 0 repositories listed
• On the accuracy of self-normalized log-linear models
  12 Jun 2015 0 repositories listed
• Random Maxout Features
  11 Jun 2015 0 repositories listed
• When and why are log-linear models self-normalizing?
  1 May 2015 0 repositories listed
• (Almost) No Label No Cry
  1 Dec 2014 0 repositories listed
• Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning
  28 Aug 2014 0 repositories listed
• Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
  9 Aug 2014 0 repositories listed
• Perceptron-like Algorithms and Generalization Bounds for Learning to Rank
  3 May 2014 0 repositories listed
• Maximum Margin Multiclass Nearest Neighbors
  30 Jan 2014 0 repositories listed
• Generalization Bounds for Representative Domain Adaptation
  2 Jan 2014 0 repositories listed
• Sample Complexity of Dictionary Learning and other Matrix Factorizations
  13 Dec 2013 0 repositories listed
• Multi-Task Classification Hypothesis Space with Improved Generalization Bounds
  9 Dec 2013 0 repositories listed
• Learning Multiple Models via Regularized Weighting
  1 Dec 2013 0 repositories listed
• Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions
  22 Oct 2013 0 repositories listed
• Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence
  26 Sep 2013 0 repositories listed
• Supervised Metric Learning with Generalization Guarantees
  17 Jul 2013 0 repositories listed
• A PAC-Bayesian Tutorial with A Dropout Bound
  8 Jul 2013 0 repositories listed
• Guaranteed Classification via Regularized Similarity Learning
  13 Jun 2013 0 repositories listed
• Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation
  6 Jun 2013 0 repositories listed
• Boosting with the Logistic Loss is Consistent
  13 May 2013 0 repositories listed
• On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
  11 May 2013 0 repositories listed
• Generalization Bounds for Domain Adaptation
  4 Apr 2013 0 repositories listed
• Graph-based Generalization Bounds for Learning Binary Relations
  21 Feb 2013 0 repositories listed
• Adaptive Metric Dimensionality Reduction
  12 Feb 2013 0 repositories listed
• Passive Learning with Target Risk
  8 Feb 2013 0 repositories listed
• Confusion-Based Online Learning and a Passive-Aggressive Scheme
  1 Dec 2012 0 repositories listed
• Learning Multiple Tasks using Shared Hypotheses
  1 Dec 2012 0 repositories listed
• Robustness and Generalization for Metric Learning
  5 Sep 2012 0 repositories listed
• Algorithms for Learning Kernels Based on Centered Alignment
  2 Mar 2012 0 repositories listed
• Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
  1 Dec 2011 0 repositories listed
• Maximum Margin Multi-Label Structured Prediction
  1 Dec 2011 0 repositories listed
• Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
  1 Dec 2011 0 repositories listed
• The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers
  1 Dec 2011 0 repositories listed
• On Combining Machine Learning with Decision Making
  27 Apr 2011 0 repositories listed
• Survey & Experiment: Towards the Learning Accuracy
  18 Dec 2010 0 repositories listed
• Co-regularization Based Semi-supervised Domain Adaptation
  1 Dec 2010 0 repositories listed
• Semi-Supervised Learning with Adversarially Missing Label Information
  1 Dec 2010 0 repositories listed
• Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
  1 Dec 2010 0 repositories listed
• Two-Layer Generalization Analysis for Ranking Using Rademacher Average
  1 Dec 2010 0 repositories listed
• Human Rademacher Complexity
  1 Dec 2009 0 repositories listed
• Domain Adaptation: Learning Bounds and Algorithms
  19 Feb 2009 0 repositories listed
• Rademacher Complexity Bounds for Non-I.I.D. Processes
  1 Dec 2008 0 repositories listed
• Stability Bounds for Non-i.i.d. Processes
  1 Dec 2007 0 repositories listed