Statistical Learning
4,564 papers
Papers per year
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35
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45
70
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85
113
128
110
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162
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487
621
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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