Statistical Learning

Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018 Sparse PCA from Sparse Linear Regression NeurIPS 2018 Spectral Signatures in Backdoor Attacks NeurIPS 2018 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018 Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018 Statistical Quality Control for Human Computation and Crowdsourcing IJCAI 2018 Statistical Tomography of Microscopic Life CVPR 2018 Streaming Kernel PCA with Õ(√n) Random Features NeurIPS 2018 Structure Learning of ${H}$-colorings ALT 2018 Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018 Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach ACL 2018 Systematic Study of Long Tail Phenomena in Entity Linking COLING 2018 Taylor’s law for Human Linguistic Sequences ACL 2018 TensorCast: Forecasting Time-Evolving Networks with Contextual Information IJCAI 2018 Testing for Families of Distributions via the Fourier Transform NeurIPS 2018 Testing Sparsity over Known and Unknown Bases ICML 2018 The Description Length of Deep Learning models NeurIPS 2018 The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference ICML 2018 The Everlasting Database: Statistical Validity at a Fair Price NeurIPS 2018 The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing ACL 2018 The Limits of Post-Selection Generalization NeurIPS 2018 Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classifier JMLR 2018 The price of debiasing automatic metrics in natural language evalaution ACL 2018 The Role of Temporal Variation in Narrative Organization Interspeech 2018