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Statistical Learning

4,117 papers

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Papers

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
Computing Full Conformal Prediction Set with Approximate Homotopy NIPS 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Learning Distributions Generated by One-Layer ReLU Networks NIPS 2019
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NIPS 2019
An adaptive nearest neighbor rule for classification NIPS 2019
Generalization Bounds in the Predict-then-Optimize Framework NIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models NIPS 2019
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Landmark Ordinal Embedding NIPS 2019
Minimum Stein Discrepancy Estimators NIPS 2019
Kernel Stein Tests for Multiple Model Comparison NIPS 2019
Multi-marginal Wasserstein GAN NIPS 2019
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons NIPS 2019
Fisher Efficient Inference of Intractable Models NIPS 2019
A Necessary and Sufficient Stability Notion for Adaptive Generalization NIPS 2019
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance NIPS 2019
Learning Nonsymmetric Determinantal Point Processes NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NIPS 2019