information theory

Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Information-theoretic generalization bounds for learning from quantum data COLT 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024 Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast Interspeech 2024 Information-theoretic Limits of Online Classification with Noisy Labels NeurIPS 2024 Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Learning Partitions from Context NeurIPS 2024 Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models NeurIPS 2024 Minimum Entropy Coupling with Bottleneck NeurIPS 2024 Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ICLR 2024 Mutual Information Estimation via Normalizing Flows NeurIPS 2024 On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 Online Estimation via Offline Estimation: An Information-Theoretic Framework NeurIPS 2024 Open problem: Direct Sums in Learning Theory COLT 2024 Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024 Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024 Perplexing Canon: A study on GPT-based perplexity of canonical and non-canonical literary works EACL 2024 Position: On the Possibilities of AI-Generated Text Detection ICML 2024 Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 Qualitative Mechanism Independence NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting NeurIPS 2024 Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond AAAI 2024 SaGE: Evaluating Moral Consistency in Large Language Models COLING 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NeurIPS 2024