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minimum description length
minimum description length
46 papers
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Also known as
MDL
Co-occurring keywords
causal discovery
(460)
representation learning
(6206)
event sequence
(55)
model selection
(456)
causal inference
(1630)
unsupervised learning
(3264)
neural network
(6616)
kolmogorov complexity
(9)
variational inference
(2069)
learning theory
(519)
Papers
Causal Discovery from Interval-Based Event Sequences
AAAI 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
SPACETIME: Causal Discovery from Non-Stationary Time Series
AAAI 2025
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
AAAI 2024
Unsupervised Change Point Detection in Multivariate Time Series
AISTATS 2024
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning
ACL 2024
Learning MDL Logic Programs from Noisy Data
AAAI 2024
What Are the Rules? Discovering Constraints from Data
AAAI 2024
Discovering Sequential Patterns with Predictable Inter-event Delays
AAAI 2024
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
IJCAI 2024
Causal Discovery from Event Sequences by Local Cause-Effect Attribution
NIPS 2024
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length
ACL 2024
Conditional Density Estimation with Histogram Trees
NIPS 2024
Minimum Description Length and Generalization Guarantees for Representation Learning
NIPS 2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
AAAI 2023
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
UAI 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
AAAI 2023
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NIPS 2022
Learning Cluster Causal Diagrams: An Information-Theoretic Approach
IJCAI 2022
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
ICML 2022
Causal Discovery in Hawkes Processes by Minimum Description Length
AAAI 2022
Discovering Interpretable Data-to-Sequence Generators
AAAI 2022
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