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Regression

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Papers

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
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019
Online Learning to Rank with Features ICML 2019
Towards a Unified Analysis of Random Fourier Features ICML 2019
Regularization in directable environments with application to Tetris ICML 2019
Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019
Geometric Losses for Distributional Learning ICML 2019
Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements ICML 2019
Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019
Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019
Learning to Clear the Market ICML 2019
Distribution calibration for regression ICML 2019
Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019
Deep Factors for Forecasting ICML 2019
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
Generalized Linear Rule Models ICML 2019
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering ICML 2019
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019
Incremental Randomized Sketching for Online Kernel Learning ICML 2019
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ICML 2019
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction IJCAI 2019