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Statistical Learning

4,117 papers

Papers per year

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100
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Papers

Generalization Bounds for Uniformly Stable Algorithms NIPS 2018
Binary Rating Estimation with Graph Side Information NIPS 2018
On Binary Classification in Extreme Regions NIPS 2018
Multi-Class Learning: From Theory to Algorithm NIPS 2018
CatBoost: unbiased boosting with categorical features NIPS 2018
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NIPS 2018
Uplift Modeling from Separate Labels NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates NIPS 2018
The Description Length of Deep Learning models NIPS 2018
Early Stopping for Nonparametric Testing NIPS 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
The Everlasting Database: Statistical Validity at a Fair Price NIPS 2018
Informative Features for Model Comparison NIPS 2018
On Fast Leverage Score Sampling and Optimal Learning NIPS 2018
Removing Hidden Confounding by Experimental Grounding NIPS 2018
Optimal Subsampling with Influence Functions NIPS 2018
Contrastive Learning from Pairwise Measurements NIPS 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NIPS 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
Sparse PCA from Sparse Linear Regression NIPS 2018
The Limits of Post-Selection Generalization NIPS 2018
Learning and Testing Causal Models with Interventions NIPS 2018