statistical guarantee

Conformal Prediction for Multi-Source Detection on a Network AAAI 2026 Fingerprinting LLMs via Prompt Injection ACL 2026 On the Probabilistic Learnability of Compact Neural Network Preimage Bounds AAAI 2026 Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025 Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering ICLR 2025 Enhancing Parallelism in Decentralized Stochastic Convex Optimization ICML 2025 Learning Temporal Logic Predicates from Data with Statistical Guarantees L4DC 2025 On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025 Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025 PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025 Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models ICLR 2025 Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025 Ward: Provable RAG Dataset Inference via LLM Watermarks ICLR 2025 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 Spectrally Transformed Kernel Regression ICLR 2024 Streamlining Conformal Information Retrieval via Score Refinement EMNLP 2024 Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023 Conformal Prediction Sets for Ordinal Classification NeurIPS 2023 Failure Prediction with Statistical Guarantees for Vision-Based Robot Control RSS 2022 Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging ICML 2022 A nonparametric method for gradual change problems with statistical guarantees NeurIPS 2021 Distributionally Robust Optimization with Markovian Data ICML 2021 On the Value of Interaction and Function Approximation in Imitation Learning NeurIPS 2021