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Regression

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Papers

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting ICCV 2019
Disentangled Image Matting ICCV 2019
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images ICCV 2019
POD: Practical Object Detection With Scale-Sensitive Network ICCV 2019
Learning With Unsure Data for Medical Image Diagnosis ICCV 2019
Joint Acne Image Grading and Counting via Label Distribution Learning ICCV 2019
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019
Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019
Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates ICML 2019
RaFM: Rank-Aware Factorization Machines ICML 2019
Dimensionality Reduction for Tukey Regression ICML 2019
On Medians of (Randomized) Pairwise Means ICML 2019
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019
Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019
Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019
Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares ICML 2019
Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019
Combining parametric and nonparametric models for off-policy evaluation ICML 2019
Learning to Optimize Multigrid PDE Solvers ICML 2019
Exploring interpretable LSTM neural networks over multi-variable data ICML 2019
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver ICML 2019
Bilinear Bandits with Low-rank Structure ICML 2019