| Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression | Jul 9, 2021 | regression | —Unverified | 0 |
| Scaling Gaussian Processes with Derivative Information Using Variational Inference | Jul 8, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing | Jul 8, 2021 | Pose Estimationregression | —Unverified | 0 |
| Adaptive Stress Testing for Adversarial Learning in a Financial Environment | Jul 8, 2021 | Fraud Detectionregression | —Unverified | 0 |
| Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition | Jul 8, 2021 | parameter estimationregression | —Unverified | 0 |
| Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling | Jul 7, 2021 | Gaussian Processesregression | —Unverified | 0 |
| Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis | Jul 7, 2021 | Managementregression | —Unverified | 0 |
| Dynamic Ordered Panel Logit Models | Jul 7, 2021 | regressionvalid | —Unverified | 0 |
| Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression | Jul 7, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Disentangle Your Dense Object Detector | Jul 7, 2021 | DisentanglementObject | CodeCode Available | 1 |
| Probabilistic partition of unity networks: clustering based deep approximation | Jul 7, 2021 | ClusteringProbabilistic Deep Learning | —Unverified | 0 |
| Identification of Dynamical Systems using Symbolic Regression | Jul 6, 2021 | regressionSymbolic Regression | —Unverified | 0 |
| An Inverse QSAR Method Based on Linear Regression and Integer Programming | Jul 6, 2021 | regression | —Unverified | 0 |
| T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs | Jul 6, 2021 | Anomaly DetectionBayesian Inference | CodeCode Available | 0 |
| EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data | Jul 6, 2021 | Change Point DetectionData Augmentation | CodeCode Available | 0 |
| Weighted Gaussian Process Bandits for Non-stationary Environments | Jul 6, 2021 | regression | —Unverified | 0 |
| Inferring the Structure of Ordinary Differential Equations | Jul 5, 2021 | regressionSymbolic Regression | —Unverified | 0 |
| Near-optimal inference in adaptive linear regression | Jul 5, 2021 | Active Learningregression | —Unverified | 0 |
| Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination | Jul 5, 2021 | Decision MakingMulti-Armed Bandits | —Unverified | 0 |
| UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning | Jul 5, 2021 | Binary ClassificationClustering | CodeCode Available | 0 |
| Meta-learning Amidst Heterogeneity and Ambiguity | Jul 5, 2021 | Meta-Learningregression | CodeCode Available | 0 |
| Multivariate functional group sparse regression: functional predictor selection | Jul 5, 2021 | regression | CodeCode Available | 0 |
| Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression | Jul 4, 2021 | regression | —Unverified | 0 |
| A Theoretical Analysis of Fine-tuning with Linear Teachers | Jul 4, 2021 | Inductive Biasregression | —Unverified | 0 |
| Boost-R: Gradient Boosted Trees for Recurrence Data | Jul 3, 2021 | regression | —Unverified | 0 |
| Sibling Regression for Generalized Linear Models | Jul 3, 2021 | regression | —Unverified | 0 |
| Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation | Jul 3, 2021 | Density Estimationregression | —Unverified | 0 |
| Slope and generalization properties of neural networks | Jul 3, 2021 | Memorizationregression | CodeCode Available | 0 |
| Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions | Jul 2, 2021 | regression | —Unverified | 0 |
| Solving Machine Learning Problems | Jul 2, 2021 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 0 |
| Polarized Self-Attention: Towards High-quality Pixel-wise Regression | Jul 2, 2021 | 2D Pose EstimationKeypoint Detection | CodeCode Available | 1 |
| Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data | Jul 1, 2021 | Benchmarkingregression | —Unverified | 0 |
| Machine learning based iterative learning control for non-repetitive time-varying systems | Jul 1, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Valid prediction intervals for regression problems | Jul 1, 2021 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Ethical AI-Powered Regression Test Selection | Jun 30, 2021 | Decision MakingDiversity | —Unverified | 0 |
| Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models | Jun 29, 2021 | regression | —Unverified | 0 |
| Using Robust Regression to Find Font Usage Trends | Jun 29, 2021 | regression | —Unverified | 0 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 |
| A Non-parametric View of FedAvg and FedProx: Beyond Stationary Points | Jun 29, 2021 | Federated Learningglobal-optimization | —Unverified | 0 |
| Counterfactual Explanations for Arbitrary Regression Models | Jun 29, 2021 | Bayesian Optimisationcounterfactual | —Unverified | 0 |
| Regression analysis of distributional data through Multi-Marginal Optimal transport | Jun 28, 2021 | regression | —Unverified | 0 |
| PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework | Jun 28, 2021 | AstronomyDeep Learning | —Unverified | 0 |
| Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression | Jun 28, 2021 | regressionVariable Selection | CodeCode Available | 1 |
| Adversarial Robustness of Streaming Algorithms through Importance Sampling | Jun 28, 2021 | Adversarial RobustnessClustering | —Unverified | 0 |
| Representation Based Regression for Object Distance Estimation | Jun 27, 2021 | 3D Object DetectionObject | CodeCode Available | 1 |
| SymbolicGPT: A Generative Transformer Model for Symbolic Regression | Jun 27, 2021 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| FCMI: Feature Correlation based Missing Data Imputation | Jun 26, 2021 | Feature CorrelationImputation | —Unverified | 0 |
| A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems | Jun 25, 2021 | regression | —Unverified | 0 |
| Privacy Threats Analysis to Secure Federated Learning | Jun 24, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers | Jun 24, 2021 | regression | —Unverified | 0 |