hypothesis space

Efficient Rule Induction by Ignoring Pointless Rules AAAI 2026 Symmetry Breaking for Inductive Logic Programming AAAI 2026 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments ICLR 2025 HEAL: A Hypothesis-Based Preference-Aware Analysis Framework EMNLP 2025 Robust Reward Alignment via Hypothesis Space Batch Cutting ICML 2025 Training Diffusion-based Generative Models with Limited Data ICML 2025 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts ICML 2024 Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing NeurIPS 2024 Copula-Nested Spectral Kernel Network ICML 2024 Towards Exact Computation of Inductive Bias IJCAI 2024 Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space EMNLP 2022 Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation EMNLP 2022 Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data IJCAI 2022 Regret Bounds for Online Kernel Selection in Continuous Kernel Space AAAI 2021 Forgetting to Learn Logic Programs AAAI 2020 Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020 Multi-Observation Elicitation COLT 2017 Algorithmic Stability and Uniform Generalization NeurIPS 2015 Sufficient Conditions for Agnostic Active Learnable NeurIPS 2009 Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003 Algorithmic Luckiness JMLR 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002