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Statistical Learning

4,076 papers

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Papers

Estimating treatment effects with observed confounders and mediators UAI 2021
Dimension reduction for data with heterogeneous missingness UAI 2021
Statistical mechanical analysis of neural network pruning UAI 2021
Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021
Automatic Open-World Reliability Assessment WACV 2021
Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty WACV 2021
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Statistical Guarantees of Distributed Nearest Neighbor Classification NIPS 2020
The Statistical Complexity of Early-Stopped Mirror Descent NIPS 2020
Minimax Classification with 0-1 Loss and Performance Guarantees NIPS 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel NIPS 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability NIPS 2020
Statistical-Query Lower Bounds via Functional Gradients NIPS 2020
Towards Problem-dependent Optimal Learning Rates NIPS 2020
A/B Testing in Dense Large-Scale Networks: Design and Inference NIPS 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NIPS 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NIPS 2020
A Unified View of Label Shift Estimation NIPS 2020
Inferring learning rules from animal decision-making NIPS 2020
Classification with Valid and Adaptive Coverage NIPS 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration NIPS 2020
Learning discrete distributions with infinite support NIPS 2020
Predictive inference is free with the jackknife+-after-bootstrap NIPS 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms NIPS 2020
Randomized tests for high-dimensional regression: A more efficient and powerful solution NIPS 2020