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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"
36 / 36 papers shown
Title
Constraining dark matter halo profiles with symbolic regression
Alicia Martín
Tariq Yasin
Deaglan Bartlett
Harry Desmond
Pedro G. Ferreira
64
0
0
28 Nov 2025
Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory
Einar Urdshals
Edmund Lau
Jesse Hoogland
Stan van Wingerden
Daniel Murfet
99
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 Trees
Neural Information Processing Systems (NeurIPS), 2024
Lincen Yang
Matthijs van Leeuwen
136
2
0
15 Oct 2024
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
Atsushi Suzuki
Kota Fukuzawa
Kenji Yamanishi
93
1
0
12 Sep 2024
Minimum Description Length and Generalization Guarantees for Representation Learning
Neural Information Processing Systems (NeurIPS), 2024
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
320
11
0
05 Feb 2024
Probabilistic Truly Unordered Rule Sets
Lincen Yang
M. Leeuwen
233
1
0
18 Jan 2024
Generating Interpretable Networks using Hypernetworks
Isaac Liao
Ziming Liu
Max Tegmark
192
2
0
05 Dec 2023
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle
International Symposium on Intelligent Data Analysis (IDA), 2023
Sébastien Ferré
LRM
204
2
0
01 Nov 2023
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
Journal of machine learning research (JMLR), 2023
Katerina Hlaváčková-Schindler
A. Melnykova
I. Tubikanec
244
2
0
05 Sep 2023
Priors for symbolic regression
Deaglan J. Bartlett
Harry Desmond
Pedro G. Ferreira
218
6
0
13 Apr 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TS
CML
327
40
0
17 Mar 2023
Multiclass classification utilising an estimated algorithmic probability prior
K. Dingle
Pau Batlle
H. Owhadi
128
4
0
14 Dec 2022
Exhaustive Symbolic Regression
IEEE Transactions on Evolutionary Computation (TEVC), 2022
Deaglan J. Bartlett
Harry Desmond
Pedro G. Ferreira
144
35
0
21 Nov 2022
Game-theoretic statistics and safe anytime-valid inference
Statistical Science (Statist. Sci.), 2022
Aaditya Ramdas
Peter Grünwald
V. Vovk
Glenn Shafer
360
160
0
04 Oct 2022
Minimum Description Length Control
International 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
190
13
0
17 Jun 2022
Causal Discovery in Hawkes Processes by Minimum Description Length
AAAI Conference on Artificial Intelligence (AAAI), 2022
Amirkasra Jalaldoust
Katerina Hlaváčková-Schindler
Claudia Plant
CML
AI4TS
111
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
152
73
0
09 Feb 2022
Learning Logic Programs From Noisy Failures
J. Wahlig
194
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
188
2
0
02 Jul 2021
Robust subgroup discovery
Data 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 Kernel
Neural Information Processing Systems (NeurIPS), 2021
Changyong Oh
Roberto Bondesan
E. Gavves
Max Welling
166
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 Horizon
The New England Journal of Statistics in Data Science (JNESDS), 2020
Judith ter Schure
M. F. Pérez-Ortiz
Alexander Ly
Peter D. Grünwald
261
4
0
13 Nov 2020
The Minimum Description Length Principle for Pattern Mining: A Survey
Data mining and knowledge discovery (DMKD), 2020
E. Galbrun
AI4TS
360
30
0
28 Jul 2020
Revisiting minimum description length complexity in overparameterized models
Raaz Dwivedi
Chandan Singh
Bin Yu
Martin J. Wainwright
403
5
0
17 Jun 2020
Discovering outstanding subgroup lists for numeric targets using MDL
Hugo Manuel Proença
Peter Grünwald
Thomas Bäck
M. Leeuwen
114
14
0
16 Jun 2020
Unsupervised Discretization by Two-dimensional MDL-based Histogram
Machine-mediated learning (ML), 2020
Lincen Yang
M. Baratchi
Matthijs van Leeuwen
165
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
315
95
0
17 May 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels
Physical Review E (PRE), 2020
Tzu-Chi Yen
D. Larremore
172
29
0
22 Jan 2020
Safe Testing
Information Theory and Applications Workshop (ITA), 2019
Peter Grünwald
R. D. Heide
Wouter M. Koolen
331
249
0
18 Jun 2019
A Geometric Modeling of Occam's Razor in Deep Learning
Information Geometry (IG), 2019
Ke Sun
Frank Nielsen
257
6
0
27 May 2019
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