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Regression

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Papers

The Generalized Lasso with Nonlinear Observations and Generative Priors NIPS 2020
Fair regression via plug-in estimator and recalibration with statistical guarantees NIPS 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization NIPS 2020
OrganITE: Optimal transplant donor organ offering using an individual treatment effect NIPS 2020
The Complete Lasso Tradeoff Diagram NIPS 2020
Regression with reject option and application to kNN NIPS 2020
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond NIPS 2020
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data NIPS 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NIPS 2020
Learning by Minimizing the Sum of Ranked Range NIPS 2020
The Statistical Cost of Robust Kernel Hyperparameter Turning NIPS 2020
Incremental learning of EMG-based control commands using Gaussian Processes CORL 2020
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks AAAI 2020
Predictive Student Modeling in Educational Games with Multi-Task Learning AAAI 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020
PSENet: Psoriasis Severity Evaluation Network AAAI 2020
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules AAAI 2020
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework AAAI 2020
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed AAAI 2020
Fairness-Aware Demand Prediction for New Mobility AAAI 2020
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks AAAI 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation AAAI 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020