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Regression

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Papers

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
Being Robust (in High Dimensions) Can Be Practical ICML 2017
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement 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
High-Dimensional Structured Quantile Regression ICML 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
Efficient Distributed Learning with Sparsity ICML 2017
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017
Latent Feature Lasso ICML 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Input Convex Neural Networks ICML 2017
Boosted Fitted Q-Iteration ICML 2017
A Data-Oriented Model of Literary Language EACL 2017
Using Twitter Language to Predict the Real Estate Market EACL 2017
Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2 IJCNLP 2017
NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases IJCNLP 2017
CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification IJCNLP 2017
Superpixel-Based Tracking-By-Segmentation Using Markov Chains CVPR 2017