conftrace_

statistical test

47 papers

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Co-occurring keywords

statistical testing (98) kernel methods (1097) hypothesis testing (254) maximum mean discrepancy (164) independence testing (27) two-sample test (51) differential privacy (1016) goodness-of-fit test (29) goodness of fit (10) distribution testing (61)

Papers

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
A Likelihood Ratio Test of Genetic Relationship among Languages NAACL 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024
Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023
A Watermark for Large Language Models ICML 2023
Increasing effect sizes of pairwise conditional independence tests between random vectors UAI 2023
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NIPS 2023
TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023
Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022
Robust Graph Structure Learning via Multiple Statistical Tests NIPS 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors JMLR 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022
A Statistical Approach for Optimal Topic Model Identification JMLR 2022
Identity testing for Mallows model NIPS 2021
Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021
Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020
Learning Kernel Tests Without Data Splitting NIPS 2020
Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020
We Need to Talk about Standard Splits ACL 2019
Private Testing of Distributions via Sample Permutations NIPS 2019