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Statistical Learning

4,117 papers

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Papers

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023
Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL 2023
Scaling Laws for BERT in Low-Resource Settings ACL 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023
MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation ACL 2023
StFX-NLP at SemEval-2023 Task 4: Unsupervised and Supervised Approaches to Detecting Human Values in Arguments ACL 2023
Functional Distributional Semantics at Scale ACL 2023
Selective Nonparametric Regression via Testing ACML 2023
Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023
Meta-Uncertainty in Bayesian Model Comparison AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
Sample Complexity of Kernel-Based Q-Learning AISTATS 2023
Semi-Verified PAC Learning from the Crowd AISTATS 2023
On the Capacity Limits of Privileged ERM AISTATS 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Optimal and Private Learning from Human Response Data AISTATS 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023