| Scaling structural learning with NO-BEARS to infer causal transcriptome networks | Oct 31, 2019 | CPUGPU | CodeCode Available | 0 |
| Iterative Hessian Sketch in Input Sparsity Time | Oct 30, 2019 | regression | CodeCode Available | 0 |
| EnergyStar++: Towards more accurate and explanatory building energy benchmarking | Oct 30, 2019 | Benchmarkingenergy management | CodeCode Available | 0 |
| Hidden Markov Models for sepsis detection in preterm infants | Oct 30, 2019 | regression | —Unverified | 0 |
| Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning | Oct 30, 2019 | Deep Learningregression | —Unverified | 0 |
| Bounding Regression Errors in Data-driven Power Grid Steady-state Models | Oct 30, 2019 | regression | —Unverified | 0 |
| Fast acoustic scattering using convolutional neural networks | Oct 30, 2019 | Image-to-Image Regressionregression | CodeCode Available | 0 |
| Differentially Private Bayesian Linear Regression | Oct 29, 2019 | regression | CodeCode Available | 0 |
| Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption | Oct 28, 2019 | Matrix Completionregression | CodeCode Available | 0 |
| A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression | Oct 28, 2019 | regression | CodeCode Available | 0 |
| Dual Instrumental Variable Regression | Oct 27, 2019 | regression | CodeCode Available | 0 |
| Spectral Algorithm for Low-rank Multitask Regression | Oct 27, 2019 | image-classificationImage Classification | —Unverified | 0 |
| The Quo Vadis submission at Traffic4cast 2019 | Oct 27, 2019 | regression | CodeCode Available | 0 |
| Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians | Oct 27, 2019 | Decision Makingquantile regression | CodeCode Available | 0 |
| Detection of Adversarial Attacks and Characterization of Adversarial Subspace | Oct 26, 2019 | BenchmarkingEnvironmental Sound Classification | —Unverified | 0 |
| High dimensional regression for regenerative time-series: an application to road traffic modeling | Oct 24, 2019 | regressionTime Series | CodeCode Available | 0 |
| ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels | Oct 24, 2019 | regression | —Unverified | 0 |
| Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection | Oct 24, 2019 | regressionRelation | —Unverified | 0 |
| A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images | Oct 23, 2019 | Cancer ClassificationClassification | CodeCode Available | 0 |
| Towards Fast Displaced Vertex Finding | Oct 23, 2019 | regression | —Unverified | 0 |
| Deep Classification Network for Monocular Depth Estimation | Oct 23, 2019 | ClassificationDepth Estimation | —Unverified | 0 |
| Nested conformal prediction and quantile out-of-bag ensemble methods | Oct 23, 2019 | Conformal PredictionDensity Estimation | CodeCode Available | 0 |
| Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models | Oct 23, 2019 | Bayesian Inferenceregression | —Unverified | 0 |
| Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression | Oct 22, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Toward estimating personal well-being using voice | Oct 22, 2019 | regressionSleep Quality | —Unverified | 0 |
| An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive Learning | Oct 22, 2019 | regression | CodeCode Available | 0 |
| A ν- support vector quantile regression model with automatic accuracy control | Oct 21, 2019 | quantile regressionregression | —Unverified | 0 |
| Safe-Bayesian Generalized Linear Regression | Oct 21, 2019 | Bayesian Inferenceregression | —Unverified | 0 |
| Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment | Oct 21, 2019 | Face AlignmentMixture-of-Experts | —Unverified | 0 |
| Shallow Art: Art Extension Through Simple Machine Learning | Oct 21, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Neighborhood and Graph Constructions using Non-Negative Kernel Regression | Oct 21, 2019 | graph constructionGraph Learning | CodeCode Available | 0 |
| Improved error rates for sparse (group) learning with Lipschitz loss functions | Oct 20, 2019 | L2 Regularizationquantile regression | —Unverified | 0 |
| Supporting Multi-point Fan Design with Dimension Reduction | Oct 20, 2019 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning | Oct 19, 2019 | DiversityPrediction | —Unverified | 0 |
| Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment | Oct 18, 2019 | Generative Adversarial Networkregression | CodeCode Available | 0 |
| Robust modal regression with direct log-density derivative estimation | Oct 18, 2019 | Density Estimationregression | —Unverified | 0 |
| A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method | Oct 17, 2019 | regression | —Unverified | 0 |
| Gaussian Process Regression for Derivative Portfolio Modeling and Application to CVA Computations | Oct 17, 2019 | regression | —Unverified | 0 |
| Parametric Gaussian Process Regressors | Oct 16, 2019 | regressionVariational Inference | —Unverified | 0 |
| Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG | Oct 15, 2019 | regression | —Unverified | 0 |
| The Renyi Gaussian Process: Towards Improved Generalization | Oct 15, 2019 | regression | —Unverified | 0 |
| Learning Sample-Specific Models with Low-Rank Personalized Regression | Oct 15, 2019 | regression | CodeCode Available | 0 |
| First order expansion of convex regularized estimators | Oct 12, 2019 | Formregression | —Unverified | 0 |
| NLS: an accurate and yet easy-to-interpret regression method | Oct 11, 2019 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization | Oct 11, 2019 | regressionVariable Selection | CodeCode Available | 0 |
| Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses | Oct 10, 2019 | regressionRepresentation Learning | —Unverified | 0 |
| Panoptic-DeepLab | Oct 10, 2019 | DecoderInstance Segmentation | CodeCode Available | 0 |
| Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting | Oct 10, 2019 | Deep Learningregression | —Unverified | 0 |
| Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression | Oct 9, 2019 | GPRregression | —Unverified | 0 |
| Supervised feature selection with orthogonal regression and feature weighting | Oct 9, 2019 | feature selectionregression | —Unverified | 0 |