likelihood ratio test

Verifiable LLM-Generated Text Detection via Projected Semantic-Structural Distributions ACL 2026 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding CLeaR 2025 Offline Changepoint Detection With Gaussian Processes UAI 2025 Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage AISTATS 2025 A Likelihood Ratio Test of Genetic Relationship among Languages NAACL 2024 Approximate Information Tests on Statistical Submanifolds JMLR 2024 Low-Cost High-Power Membership Inference Attacks ICML 2024 Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023 Bregman Deviations of Generic Exponential Families COLT 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023 Community detection in sparse latent space models JMLR 2022 Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting ICML 2020 Polishing the Classical Likelihood Ratio Test by Supervised Learning for Voice Activity Detection Interspeech 2020 Correcting Whitespace Errors in Digitized Historical Texts NAACL 2019 Detection limits in the high-dimensional spiked rectangular model COLT 2018 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 Heavy-tailed Distances for Gradient Based Image Descriptors NeurIPS 2011