| Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences | Jul 6, 2018 | Gaussian Processesregression | —Unverified | 0 |
| A Structured Prediction Approach for Label Ranking | Jul 6, 2018 | Predictionregression | CodeCode Available | 0 |
| A Semi-parametric Realized Joint Value-at-Risk and Expected Shortfall Regression Framework | Jul 5, 2018 | quantile regressionregression | —Unverified | 0 |
| Fixed Effects and the Generalized Mundlak Estimator | Jul 5, 2018 | regression | CodeCode Available | 1 |
| Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective | Jul 5, 2018 | regression | —Unverified | 0 |
| Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation | Jul 5, 2018 | ARCDenoising | —Unverified | 0 |
| Revisiting Perspective Information for Efficient Crowd Counting | Jul 5, 2018 | Crowd Countingregression | —Unverified | 0 |
| Unbiased Image Style Transfer | Jul 4, 2018 | regressionStyle Transfer | —Unverified | 0 |
| Breast Cancer Diagnosis via Classification Algorithms | Jul 3, 2018 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Learning concise representations for regression by evolving networks of trees | Jul 3, 2018 | Disentanglementregression | CodeCode Available | 1 |
| One-Class Kernel Spectral Regression | Jul 3, 2018 | Graph EmbeddingOne-class classifier | —Unverified | 0 |
| Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media | Jul 2, 2018 | Computational EfficiencyDecoder | CodeCode Available | 0 |
| CRVI: Convex Relaxation for Variational Inference | Jul 1, 2018 | Inference Optimizationregression | —Unverified | 0 |
| Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data | Jul 1, 2018 | regressionTwo-sample testing | —Unverified | 0 |
| An Iterative, Sketching-based Framework for Ridge Regression | Jul 1, 2018 | regression | —Unverified | 0 |
| The Well-Tempered Lasso | Jul 1, 2018 | regression | —Unverified | 0 |
| Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach | Jul 1, 2018 | regressionVariable Selection | —Unverified | 0 |
| Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information | Jul 1, 2018 | regression | —Unverified | 0 |
| Nonconvex Optimization for Regression with Fairness Constraints | Jul 1, 2018 | AttributeFairness | CodeCode Available | 0 |
| Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods | Jul 1, 2018 | regression | —Unverified | 0 |
| Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms | Jul 1, 2018 | regression | —Unverified | 0 |
| Randomized Block Cubic Newton Method | Jul 1, 2018 | regression | —Unverified | 0 |
| Accurate Uncertainties for Deep Learning Using Calibrated Regression | Jul 1, 2018 | Deep LearningModel-based Reinforcement Learning | CodeCode Available | 0 |
| Probabilistic Bisection with Spatial Metamodels | Jun 30, 2018 | Active LearningGaussian Processes | —Unverified | 0 |
| Fully Nonparametric Bayesian Additive Regression Trees | Jun 29, 2018 | regressionUncertainty Quantification | —Unverified | 0 |