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Statistical Learning

4,076 papers

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Papers

Regularized Gradient Boosting NIPS 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
Sparse High-Dimensional Isotonic Regression NIPS 2019
Conformalized Quantile Regression NIPS 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning NIPS 2019
Implicit Regularization for Optimal Sparse Recovery NIPS 2019
Variance Reduced Policy Evaluation with Smooth Function Approximation NIPS 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data NIPS 2019
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds NIPS 2019
Are sample means in multi-armed bandits positively or negatively biased? NIPS 2019
Toward a Characterization of Loss Functions for Distribution Learning NIPS 2019
A Debiased MDI Feature Importance Measure for Random Forests NIPS 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Partitioning Structure Learning for Segmented Linear Regression Trees NIPS 2019
Direct Estimation of Differential Functional Graphical Models NIPS 2019
Unified Sample-Optimal Property Estimation in Near-Linear Time NIPS 2019
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NIPS 2019
Conformal Prediction Under Covariate Shift NIPS 2019
On Robustness of Principal Component Regression NIPS 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
Private Hypothesis Selection NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
Multiway clustering via tensor block models NIPS 2019