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Regression

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Papers

Computationally and Statistically Efficient Truncated Regression COLT 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019
Sum-of-squares meets square loss: Fast rates for agnostic tensor completion COLT 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019
An Optimal High-Order Tensor Method for Convex Optimization COLT 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance COLT 2019
A Theory of Selective Prediction COLT 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019
Open Problem: Monotonicity of Learning COLT 2019
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment CVPR 2019
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image CVPR 2019
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation CVPR 2019
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization CVPR 2019
Supervised Fitting of Geometric Primitives to 3D Point Clouds CVPR 2019
Learning-Based Sampling for Natural Image Matting CVPR 2019
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding CVPR 2019
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression CVPR 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion CVPR 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range CVPR 2019
Segmentation-Driven 6D Object Pose Estimation CVPR 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression CVPR 2019
Polarimetric Camera Calibration Using an LCD Monitor CVPR 2019