conftrace_

hypothesis testing

254 papers

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Co-occurring keywords

statistical testing (98) sample complexity (1169) statistical inference (146) kernel methods (1097) differential privacy (1016) distribution testing (61) false discovery rate (76) two-sample test (51) confidence interval (146) statistical learning (351)

Papers

What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles AAAI 2026
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025
Composite Goodness-of-fit Tests with Kernels JMLR 2025
On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025
Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation NAACL 2025
Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025
Selective Inference with Distributed Data JMLR 2025
RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models EMNLP 2025
Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Are Large Language Models Good Statisticians? NIPS 2024
Contrastive dimension reduction: when and how? NIPS 2024
False discovery proportion envelopes with m-consistency JMLR 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Testing Semantic Importance via Betting NIPS 2024
Nonparametric Inference under B-bits Quantization JMLR 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Testing exchangeability by pairwise betting AISTATS 2024
On Ranking-based Tests of Independence AISTATS 2024
Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024
Estimating the Replication Probability of Significant Classification Benchmark Experiments JMLR 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024