Statistics

Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task EMNLP 2025 ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025 Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025 Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses UAI 2025 Robust Bias Detection in MLMs and its Application to Human Trait Ratings NAACL 2025 Robust Score Matching AISTATS 2025 ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL 2025 Selective Inference with Distributed Data JMLR 2025 Semiparametric conformal prediction AISTATS 2025 Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy AISTATS 2025 Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Synthetic Potential Outcomes and Causal Mixture Identifiability AISTATS 2025 The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025 Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025 UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 Analysing and Validating Language Complexity Metrics Across South American Indigenous Languages ACL 2024 Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression UAI 2024 An Approximate Skolem Function Counter AAAI 2024 An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024