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Statistical Learning

4,076 papers

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Papers

A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020
On the Equivalence between Online and Private Learnability beyond Binary Classification NIPS 2020
Fast and Bayes-consistent nearest neighbors AISTATS 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve CVPR 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NIPS 2020
Adaptive, Distribution-Free Prediction Intervals for Deep Networks AISTATS 2020
When Do Neural Networks Outperform Kernel Methods? NIPS 2020
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020
Cross-validation Confidence Intervals for Test Error NIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020
On the Sample Complexity of Learning Sum-Product Networks AISTATS 2020
Towards a Comprehensive Assessment of Speech Intelligibility for Pathological Speech INTERSPEECH 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling CVPR 2020
On Log-Loss Scores and (No) Privacy EMNLP 2020
Private Mean Estimation of Heavy-Tailed Distributions COLT 2020
Imputing typological values via phylogenetic inference EMNLP 2020
On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology ACL 2020
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability NIPS 2020
Minimax Nonparametric Parallelism Test JMLR 2020
Risk Bounds for Reservoir Computing JMLR 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NIPS 2020