| Learning theory estimates with observations from general stationary stochastic processes | May 10, 2016 | Learning Theoryquantile regression | —Unverified | 0 |
| Learning Possibilistic Logic Theories from Default Rules | Apr 18, 2016 | Learning Theory | —Unverified | 0 |
| 1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation | Apr 14, 2016 | Collaborative FilteringLearning Theory | —Unverified | 0 |
| Collaborative prediction with expert advice | Mar 20, 2016 | Learning TheoryPrediction | —Unverified | 0 |
| Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization | Mar 2, 2016 | Distributed OptimizationLearning Theory | —Unverified | 0 |
| Parametric Prediction from Parametric Agents | Feb 24, 2016 | Learning TheoryPrediction | —Unverified | 0 |
| A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution | Feb 15, 2016 | Learning Theory | —Unverified | 0 |
| A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models | Jan 10, 2016 | Learning Theory | —Unverified | 0 |
| Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences | Dec 20, 2015 | Learning Theoryregression | —Unverified | 0 |
| Learning Theory and Algorithms for Forecasting Non-stationary Time Series | Dec 1, 2015 | Learning TheoryTime Series | —Unverified | 0 |
| Algorithmic Stability and Uniform Generalization | Dec 1, 2015 | Dimensionality ReductionLearning Theory | —Unverified | 0 |
| On the Pseudo-Dimension of Nearly Optimal Auctions | Dec 1, 2015 | Learning Theory | —Unverified | 0 |
| A PAC Approach to Application-Specific Algorithm Selection | Nov 23, 2015 | Learning Theory | —Unverified | 0 |
| The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications | Nov 11, 2015 | Learning Theory | —Unverified | 0 |
| Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees | Nov 3, 2015 | Collaborative FilteringLearning Theory | —Unverified | 0 |
| On the Robustness of Regularized Pairwise Learning Methods Based on Kernels | Oct 12, 2015 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Algorithmic statistics, prediction and machine learning | Sep 17, 2015 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS | Aug 24, 2015 | Learning Theory | —Unverified | 0 |
| 2 Notes on Classes with Vapnik-Chervonenkis Dimension 1 | Jul 19, 2015 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Kernel Methods for Linear Discrete-Time Equations | Jul 11, 2015 | Learning Theory | —Unverified | 0 |
| Fast rates in statistical and online learning | Jul 9, 2015 | Density EstimationLearning Theory | —Unverified | 0 |
| Scalable Large-Margin Structured Learning: Theory and Algorithms | Jul 1, 2015 | Learning TheoryMachine Translation | —Unverified | 0 |
| What can ecosystems learn? Expanding evolutionary ecology with learning theory | Jun 21, 2015 | Learning TheoryOpen-Ended Question Answering | —Unverified | 0 |
| A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k | Jun 3, 2015 | Learning Theory | —Unverified | 0 |
| A Theory of Formal Synthesis via Inductive Learning | May 15, 2015 | BIG-bench Machine LearningInductive Learning | —Unverified | 0 |
