likelihood ratio

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift CLeaR 2026 Articulatory Strategy in Vowel Production as a Basis for Speaker Discrimination Interspeech 2025 Collaborative likelihood-ratio estimation over graphs JMLR 2025 Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator ICML 2025 The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities ICLR 2025 Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese EMNLP 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction ICLR 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024 One Forward is Enough for Neural Network Training via Likelihood Ratio Method ICLR 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning ICML 2024 SCOD: From Heuristics to Theory ECCV 2024 Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024 FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023 Likelihood Ratio Confidence Sets for Sequential Decision Making NeurIPS 2023 Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022 Eliciting and evaluating likelihood ratios for speaker recognition by human listeners under forensically realistic channel-mismatched conditions Interspeech 2022 High level feature fusion in forensic voice comparison Interspeech 2022 Mitigating statistical bias within differentially private synthetic data UAI 2022 Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE NeurIPS 2022 Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings Interspeech 2022 Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems Interspeech 2022 Constrained Two-step Look-Ahead Bayesian Optimization NeurIPS 2021