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684 directly classified papers

Papers per year

Papers

Composite Goodness-of-fit Tests with Kernels JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
Selective Inference with Distributed Data JMLR 2025
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations CVPR 2025
An Axiomatic Definition of Hierarchical Clustering JMLR 2025
RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task EMNLP 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging ACL 2025
Advocating Character Error Rate for Multilingual ASR Evaluation NAACL 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025
Robust Bias Detection in MLMs and its Application to Human Trait Ratings NAACL 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy NAACL 2025
Contrastive Functional Principal Component Analysis AAAI 2025
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025
Mitigating Label Length Bias in Large Language Models IJCNLP 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025
Keep Guessing? When Considering Inference Scaling, Mind the Baselines NAACL 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025
Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025