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Statistical Learning

4,117 papers

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Papers

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable AAAI 2023
Stable Learning via Sparse Variable Independence AAAI 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Computing Divergences between Discrete Decomposable Models AAAI 2023
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023
Counterfactuals for the Future AAAI 2023
A New Challenge in Policy Evaluation AAAI 2023
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language AAAI 2023
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration AAAI 2023
On the Efficacy of Sampling Adapters ACL 2023
Rogue Scores ACL 2023
An Ordinal Latent Variable Model of Conflict Intensity ACL 2023
Forgotten Knowledge: Examining the Citational Amnesia in NLP ACL 2023
Large-Scale Correlation Analysis of Automated Metrics for Topic Models ACL 2023
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations ACL 2023
Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times ACL 2023
Class based Influence Functions for Error Detection ACL 2023
Indirectly Supervised Natural Language Processing ACL 2023
Rethinking Translation Memory Augmented Neural Machine Translation ACL 2023
Quantifying Train-Evaluation Overlap with Nearest Neighbors ACL 2023
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers ACL 2023
Model Analysis & Evaluation for Ambiguous Question Answering ACL 2023