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Statistical Learning

4,076 papers

Papers per year

Papers

Aspect-based Analysis of Advertising Appeals for Search Engine Advertising NAACL 2022
An Item Response Theory Framework for Persuasion NAACL 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses NAACL 2022
Comparing Distributional and Curated Approaches for Cross-lingual Frame Alignment NAACL 2022
Team LEGO at SemEval-2022 Task 4: Machine Learning Methods for PCL Detection NAACL 2022
Investigating phonological theories with crowd-sourced data: The Inventory Size Hypothesis in the light of Lingua Libre NAACL 2022
JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation NAACL 2022
Investigating Information-Theoretic Properties of the Typology of Spatial Demonstratives NAACL 2022
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control RSS 2022
YNU-HPCC at SemEval-2022 Task 8: Transformer-based Ensemble Model for Multilingual News Article Similarity SEMEVAL 2022
On testability of the front-door model via Verma constraints UAI 2022
The optimal noise in noise-contrastive learning is not what you think UAI 2022
Multiclass classification for Hawkes processes 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
Sequential algorithmic modification with test data reuse UAI 2022
Mitigating statistical bias within differentially private synthetic data UAI 2022
Modeling extremes with $d$-max-decreasing neural networks UAI 2022
ReVar: Strengthening policy evaluation via reduced variance sampling UAI 2022
Evaluating high-order predictive distributions in deep learning UAI 2022
Asymptotic optimality for active learning processes UAI 2022
Stability of SGD: Tightness analysis and improved bounds UAI 2022
REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions WACV 2022
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy NIPS 2021