| On Reject and Refine Options in Multicategory Classification | Jan 9, 2017 | Binary ClassificationClassification | —Unverified | 0 |
| Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes | Dec 18, 2016 | Learning Theory | —Unverified | 0 |
| Without-Replacement Sampling for Stochastic Gradient Methods | Dec 1, 2016 | Distributed OptimizationLearning Theory | —Unverified | 0 |
| Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information | Nov 21, 2016 | feature selectionLearning Theory | —Unverified | 0 |
| Error analysis of regularized least-square regression with Fredholm kernel | Nov 21, 2016 | Learning TheoryPrediction | —Unverified | 0 |
| Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems | Nov 14, 2016 | ClusteringLearning Theory | —Unverified | 0 |
| Statistical Learning Theory Approach for Data Classification with l-diversity | Oct 18, 2016 | AnatomyClassification | —Unverified | 0 |
| Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation | Oct 13, 2016 | Learning TheoryRetrieval | —Unverified | 0 |
| On statistical learning via the lens of compression | Oct 12, 2016 | Binary ClassificationLearning Theory | —Unverified | 0 |
| An efficient high-probability algorithm for Linear Bandits | Oct 6, 2016 | Learning TheoryVocal Bursts Intensity Prediction | —Unverified | 0 |
