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Statistical Learning

4076 directly classified papers

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Papers

Non-stationary Experimental Design under Linear Trends NIPS 2023
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator NIPS 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head NIPS 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning NIPS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks NIPS 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators NIPS 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NIPS 2023
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023
When Does Optimizing a Proper Loss Yield Calibration? NIPS 2023
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NIPS 2023
Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023
Derandomized novelty detection with FDR control via conformal e-values NIPS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Risk-aware linear bandits with convex loss AISTATS 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023
Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NIPS 2023
A Statistical Learning Take on the Concordance Index for Survival Analysis AISTATS 2023