linear regression

CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification IJCNLP 2017 Differentially Private Ordinary Least Squares ICML 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 Learning Discriminative Recommendation Systems with Side Information IJCAI 2017 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NeurIPS 2017 Linear regression without correspondence NeurIPS 2017 Linguistic analysis of differences in portrayal of movie characters ACL 2017 MITRE at SemEval-2017 Task 1: Simple Semantic Similarity SemEval 2017 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017 Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017 Unbiased estimates for linear regression via volume sampling NeurIPS 2017 UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SemEval 2017 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications ICML 2017 Aggregation of supports along the Lasso path COLT 2016 Combinatorial semi-bandit with known covariance NeurIPS 2016 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016 GAP Safe Screening Rules for Sparse-Group Lasso NeurIPS 2016 Greedy Feature Construction NeurIPS 2016 Pairwise Linear Regression Classification for Image Set Retrieval CVPR 2016 Predictability of Distributional Semantics in Derivational Word Formation COLING 2016 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015 Discrete Rényi Classifiers NeurIPS 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015