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Statistical Learning

4076 directly classified papers

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Papers

Intrinsic dimensionality estimation using Normalizing Flows NIPS 2022
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NIPS 2022
Linear Label Ranking with Bounded Noise NIPS 2022
AutoML Two-Sample Test NIPS 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics NIPS 2022
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NIPS 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI NIPS 2022
On the generalization of learning algorithms that do not converge NIPS 2022
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation MIDL 2022
Text Characterization Toolkit (TCT) AACL 2022
Reproducibility Signals in Science: A preliminary analysis AACL 2022
Fairness Trade-Offs and Partial Debiasing ACML 2022
Robust Direct Learning for Causal Data Fusion ACML 2022
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022
On testability of the front-door model via Verma constraints UAI 2022
Multiclass classification for Hawkes processes UAI 2022
Sequential algorithmic modification with test data reuse UAI 2022
Asymptotic optimality for active learning processes UAI 2022
The optimal noise in noise-contrastive learning is not what you think UAI 2022
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison UAI 2022
Implicit kernel meta-learning using kernel integral forms UAI 2022
Evaluating high-order predictive distributions in deep learning UAI 2022
ReVar: Strengthening policy evaluation via reduced variance sampling UAI 2022
YNU-HPCC at SemEval-2022 Task 8: Transformer-based Ensemble Model for Multilingual News Article Similarity SEMEVAL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022