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Statistical Learning

4,076 papers

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Papers

PAC-Bayesian Bound for the Conditional Value at Risk NIPS 2020
Worst-Case Analysis for Randomly Collected Data NIPS 2020
Learning Robust Decision Policies from Observational Data NIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NIPS 2020
Fair regression via plug-in estimator and recalibration with statistical guarantees NIPS 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NIPS 2020
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NIPS 2020
Confidence sequences for sampling without replacement NIPS 2020
Consistent Plug-in Classifiers for Complex Objectives and Constraints NIPS 2020
A Limitation of the PAC-Bayes Framework NIPS 2020
A Computational Separation between Private Learning and Online Learning NIPS 2020
Statistical and Topological Properties of Sliced Probability Divergences NIPS 2020
Learning discrete distributions: user vs item-level privacy NIPS 2020
Sharper Generalization Bounds for Pairwise Learning NIPS 2020
The Statistical Cost of Robust Kernel Hyperparameter Turning NIPS 2020
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NIPS 2020
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate NIPS 2020
Robust Persistence Diagrams using Reproducing Kernels NIPS 2020
Learning Latent Space Energy-Based Prior Model NIPS 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NIPS 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives CORL 2020
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020
Can We Predict the Election Outcome from Sampled Votes? AAAI 2020
Asymptotic Risk of Bézier Simplex Fitting AAAI 2020