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Regression

5,004 papers

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Papers

Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017
A Data-Oriented Model of Literary Language EACL 2017
Using Twitter Language to Predict the Real Estate Market EACL 2017
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering EACL 2017
A Multi-aspect Analysis of Automatic Essay Scoring for Brazilian Portuguese EACL 2017
Determining Semantic Textual Similarity using Natural Deduction Proofs EMNLP 2017
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data EMNLP 2017
An Empirical Analysis of Edit Importance between Document Versions EMNLP 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis ICML 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017
Input Convex Neural Networks ICML 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017
Active Heteroscedastic Regression ICML 2017
Robust Structured Estimation with Single-Index Models ICML 2017
Nearly Optimal Robust Matrix Completion ICML 2017
Being Robust (in High Dimensions) Can Be Practical ICML 2017
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017
Uniform Convergence Rates for Kernel Density Estimation ICML 2017
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP ICML 2017
Forest-type Regression with General Losses and Robust Forest ICML 2017
Regularising Non-linear Models Using Feature Side-information ICML 2017
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017
Differentially Private Ordinary Least Squares ICML 2017