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Minimum Description Length Revisited

International Journal of Mathematics for Industry (IJMI), 2019

21 August 2019

Peter Grünwald

Teemu Roos

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Papers citing "Minimum Description Length Revisited"

35 / 35 papers shown

Title
Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory Einar Urdshals Edmund Lau Jesse Hoogland Stan van Wingerden Daniel Murfet 79 1 0 14 Oct 2025
Zobrist Hash-based Duplicate Detection in Symbolic Regression Bogdan Burlacu 56 0 0 19 Aug 2025
Position: There Is No Free Bayesian Uncertainty Quantification Ivan Melev Goeran Kauermann UQCV BDL 190 0 0 04 Jun 2025
Conditional Density Estimation with Histogram TreesNeural Information Processing Systems (NeurIPS), 2024 Lincen Yang Matthijs van Leeuwen 116 2 0 15 Oct 2024
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models Atsushi Suzuki Kota Fukuzawa Kenji Yamanishi 77 1 0 12 Sep 2024
Minimum Description Length and Generalization Guarantees for Representation LearningNeural Information Processing Systems (NeurIPS), 2024 Romain Chor Abdellatif Zaidi Piotr Krasnowski 296 11 0 05 Feb 2024
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 229 1 0 18 Jan 2024
Generating Interpretable Networks using Hypernetworks Isaac Liao Ziming Liu Max Tegmark 180 2 0 05 Dec 2023
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL PrincipleInternational Symposium on Intelligent Data Analysis (IDA), 2023 Sébastien Ferré LRM 188 2 0 01 Nov 2023
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message LengthJournal of machine learning research (JMLR), 2023 Katerina Hlaváčková-Schindler A. Melnykova I. Tubikanec 232 2 0 05 Sep 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 202 6 0 13 Apr 2023
Causal Discovery from Temporal Data: An Overview and New PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023 Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 319 37 0 17 Mar 2023
Multiclass classification utilising an estimated algorithmic probability prior K. Dingle Pau Batlle H. Owhadi 120 4 0 14 Dec 2022
Exhaustive Symbolic RegressionIEEE Transactions on Evolutionary Computation (TEVC), 2022 Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 124 35 0 21 Nov 2022
Game-theoretic statistics and safe anytime-valid inferenceStatistical Science (Statist. Sci.), 2022 Aaditya Ramdas Peter Grünwald V. Vovk Glenn Shafer 352 155 0 04 Oct 2022
Minimum Description Length ControlInternational Conference on Learning Representations (ICLR), 2022 Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 180 1 0 17 Jul 2022
Truly Unordered Probabilistic Rule Sets for Multi-class Classification Lincen Yang M. Leeuwen 182 13 0 17 Jun 2022
Causal Discovery in Hawkes Processes by Minimum Description LengthAAAI Conference on Artificial Intelligence (AAAI), 2022 Amirkasra Jalaldoust Katerina Hlaváčková-Schindler Claudia Plant CML AI4TS 107 10 0 10 Jun 2022
Far from Asymptopia Michael C. Abbott B. Machta 99 2 0 06 May 2022
The no-free-lunch theorems of supervised learning T. Sterkenburg Peter Grünwald FedML 132 72 0 09 Feb 2022
Learning Logic Programs From Noisy Failures J. Wahlig 190 6 0 28 Dec 2021
First Steps of an Approach to the ARC Challenge based on Descriptive Grid Models and the Minimum Description Length Principle Sébastien Ferré LRM 133 10 0 01 Dec 2021
Prequential MDL for Causal Structure Learning with Neural Networks J. Bornschein Silvia Chiappa Alan Malek Rosemary Nan Ke CML 172 2 0 02 Jul 2021
Robust subgroup discoveryData mining and knowledge discovery (DMKD), 2021 Hugo Manuel Proença Peter Grünwald Thomas Bäck M. Leeuwen 116 14 0 25 Mar 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted KernelNeural Information Processing Systems (NeurIPS), 2021 Changyong Oh Roberto Bondesan E. Gavves Max Welling 162 15 0 26 Feb 2021
A Pluggable Learned Index Method via Sampling and Gap Insertion Yaliang Li Daoyuan Chen Bolin Ding K. Zeng Jingren Zhou 140 15 0 04 Jan 2021
The Anytime-Valid Logrank Test: Error Control Under Continuous Monitoring with Unlimited HorizonThe New England Journal of Statistics in Data Science (JNESDS), 2020 Judith ter Schure M. F. Pérez-Ortiz Alexander Ly Peter D. Grünwald 253 4 0 13 Nov 2020
The Minimum Description Length Principle for Pattern Mining: A SurveyData mining and knowledge discovery (DMKD), 2020 E. Galbrun AI4TS 352 29 0 28 Jul 2020
Revisiting minimum description length complexity in overparameterized models Raaz Dwivedi Chandan Singh Bin Yu Martin J. Wainwright 391 5 0 17 Jun 2020
Discovering outstanding subgroup lists for numeric targets using MDL Hugo Manuel Proença Peter Grünwald Thomas Bäck M. Leeuwen 106 14 0 16 Jun 2020
Unsupervised Discretization by Two-dimensional MDL-based HistogramMachine-mediated learning (ML), 2020 Lincen Yang M. Baratchi Matthijs van Leeuwen 153 6 0 02 Jun 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 291 94 0 17 May 2020
Community Detection in Bipartite Networks with Stochastic BlockmodelsPhysical Review E (PRE), 2020 Tzu-Chi Yen D. Larremore 168 29 0 22 Jan 2020
Safe TestingInformation Theory and Applications Workshop (ITA), 2019 Peter Grünwald R. D. Heide Wouter M. Koolen 323 245 0 18 Jun 2019
A Geometric Modeling of Occam's Razor in Deep LearningInformation Geometry (IG), 2019 Ke Sun Frank Nielsen 245 6 0 27 May 2019