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59 papers

MDL

Papers

Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach CLeaR 2026 Causal Discovery from Interval-Based Event Sequences AAAI 2026 Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization UAI 2026 Recursive numeral systems are highly regular and easy to process EACL 2026 RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning ACL 2026 SEQRET: Mining Rule Sets from Event Sequences AAAI 2026 Team ewelinaksiez at SemEval-2026 Task 11: Reducing Content Bias in Syllogistic Reasoning via Semantic Abstraction SemEval 2026 Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors ICLR 2025 SPACETIME: Causal Discovery from Non-Stationary Time Series AAAI 2025 Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length ICLR 2025 Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length ACL 2024 Causal Discovery from Event Sequences by Local Cause-Effect Attribution NeurIPS 2024 Conditional Density Estimation with Histogram Trees NeurIPS 2024 Discovering Sequential Patterns with Predictable Inter-event Delays AAAI 2024 Language-guided Skill Learning with Temporal Variational Inference ICML 2024 Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle IJCAI 2024 Learning MDL Logic Programs from Noisy Data AAAI 2024 MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024 MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning ACL 2024 Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024 What Are the Rules? Discovering Constraints from Data AAAI 2024 Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition UAI 2023 Evaluating Representations with Readout Model Switching ICLR 2023 Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023 Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments AAAI 2023