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Statistical Learning

4,076 papers

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Papers

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
On Testing for Biases in Peer Review NIPS 2019
A Refined Margin Distribution Analysis for Forest Representation Learning NIPS 2019
Universality in Learning from Linear Measurements NIPS 2019
A New Perspective on Pool-Based Active Classification and False-Discovery Control NIPS 2019
Graph-based Discriminators: Sample Complexity and Expressiveness NIPS 2019
Rates of Convergence for Large-scale Nearest Neighbor Classification NIPS 2019