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Statistical Learning

4,117 papers

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Papers

$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting NIPS 2023
Neural Processes with Stability NIPS 2023
Generalized equivalences between subsampling and ridge regularization NIPS 2023
A unified framework for information-theoretic generalization bounds NIPS 2023
Smoothed Analysis of Sequential Probability Assignment NIPS 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction AAAI 2023
Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023
Multiple Robust Learning for Recommendation AAAI 2023
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023
Frustratingly Easy Truth Discovery AAAI 2023
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023
Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023
Local Intrinsic Dimensional Entropy AAAI 2023
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks AAAI 2023
Identifying Selection Bias from Observational Data AAAI 2023
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023
Fundamentals of Task-Agnostic Data Valuation AAAI 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes AAAI 2023
Sharing Pattern Submodels for Prediction with Missing Values AAAI 2023