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1219 directly classified papers

Papers per year

Papers

First order expansion of convex regularized estimators NIPS 2019
Power analysis of knockoff filters for correlated designs NIPS 2019
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing NIPS 2019
Kernel Instrumental Variable Regression NIPS 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls NIPS 2019
Asymptotics for Sketching in Least Squares Regression NIPS 2019
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond NIPS 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NIPS 2019
Conformal Prediction Under Covariate Shift NIPS 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NIPS 2019
Kernel Stein Tests for Multiple Model Comparison NIPS 2019
Structure Learning with Side Information: Sample Complexity NIPS 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NIPS 2019
Conditional Independence Testing using Generative Adversarial Networks NIPS 2019
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NIPS 2019
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NIPS 2019
Lexical concreteness in narrative ACL 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NIPS 2019
Bootstrapping Upper Confidence Bound NIPS 2019
Differentially Private Covariance Estimation NIPS 2019
Large-scale optimal transport map estimation using projection pursuit NIPS 2019