minimum description length

Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level AAAI 2023 Minimum Description Length and Generalization Guarantees for Representation Learning NeurIPS 2023 Minimum Description Length Control ICLR 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Sequential Learning of Neural Networks for Prequential MDL ICLR 2023 Shortest Program Interpolation Learning COLT 2023 Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022 Discovering Interpretable Data-to-Sequence Generators AAAI 2022 Label-Descriptive Patterns and Their Application to Characterizing Classification Errors ICML 2022 Learning Cluster Causal Diagrams: An Information-Theoretic Approach IJCAI 2022 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 Discovering Fully Oriented Causal Networks AAAI 2021 Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021 What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery ICML 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 Introducing Routing Uncertainty in Capsule Networks NeurIPS 2020 Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020 Towards Learning Convolutions from Scratch NeurIPS 2020 Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar NAACL 2019 Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NeurIPS 2018 The Description Length of Deep Learning models NeurIPS 2018 Stochastic Generative Hashing ICML 2017 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016