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Statistical Learning

4,117 papers

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Papers

Learning a Mixture of Two Multinomial Logits ICML 2018
Accurate Inference for Adaptive Linear Models ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018
More Robust Doubly Robust Off-policy Evaluation ICML 2018
Local Private Hypothesis Testing: Chi-Square Tests ICML 2018
Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018
Topological mixture estimation ICML 2018
Unbiased Objective Estimation in Predictive Optimization ICML 2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach ICML 2018
Learning Diffusion using Hyperparameters ICML 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018
An Estimation and Analysis Framework for the Rasch Model ICML 2018
The Well-Tempered Lasso ICML 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces ICML 2018
Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference ICML 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018
Orthogonal Machine Learning: Power and Limitations ICML 2018
Ranking Distributions based on Noisy Sorting ICML 2018
Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018
Black Box FDR ICML 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018
Clustering Semi-Random Mixtures of Gaussians ICML 2018