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Statistical Learning

4,564 papers

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Papers

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023 Are retroflex-to-dental sibilant substitutions in Polish children's speech an example of a covert contrast? A preliminary acoustic study Interspeech 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NeurIPS 2023 A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023 A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning AISTATS 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023 A Statistical Perspective on Retrieval-Based Models ICML 2023 Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NeurIPS 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression NeurIPS 2023 A Theory of Dynamic Benchmarks ICLR 2023 A Theory of Multimodal Learning NeurIPS 2023 Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise ICML 2023 A unified framework for information-theoretic generalization bounds NeurIPS 2023 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NeurIPS 2023 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023 Auto-Encoding Goodness of Fit ICLR 2023 A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning NeurIPS 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Average case analysis of Lasso under ultra sparse conditions AISTATS 2023 AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator NeurIPS 2023 Bagging in overparameterized learning: Risk characterization and risk monotonization JMLR 2023