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Statistical Learning

4076 directly classified papers

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Papers

Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
The Limits of Post-Selection Generalization NIPS 2018
The Everlasting Database: Statistical Validity at a Fair Price NIPS 2018
Uplift Modeling from Separate Labels NIPS 2018
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation ACL 2018
More Robust Doubly Robust Off-policy Evaluation ICML 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018
Black Box FDR ICML 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018
Learning from Comparisons and Choices JMLR 2018
On Tight Bounds for the Lasso JMLR 2018
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing ACL 2018
LHD: Improving Cache Hit Rate by Maximizing Hit Density NSDI 2018
Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization JMLR 2018
Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018
Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018
Estimation with Incomplete Data: The Linear Case IJCAI 2018
Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018
Analyzing Correlated Evolution of Multiple Features Using Latent Representations EMNLP 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms CVPR 2018
Statistical Quality Control for Human Computation and Crowdsourcing IJCAI 2018
Generalization Bounds for Regularized Pairwise Learning IJCAI 2018
De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018