v1v2 (latest)

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons

25 June 2024

Vyacheslav Kungurtsev

Papers citing "Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons"

31 / 31 papers shown

Title
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Wanlin Cai Yuxuan Liang Xianggen Liu Jianshuai Feng Yuankai Wu AI4TS 86 84 0 31 Dec 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 101 46 0 30 May 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 68 24 0 08 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 116 92 0 30 Jan 2023
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories Lei Xin G. Chiu S. Sundaram 63 10 0 24 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 98 156 0 28 Feb 2022
Scalable Bayesian Network Structure Learning with Splines Charupriya Sharma P. V. Beek 16 2 0 27 Oct 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 66 60 0 14 Jun 2021
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 137 195 0 05 May 2021
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data A. Lawrence Marcus Kaiser Rui Sampaio Maksim Sipos CML AI4TS 89 20 0 16 Apr 2021
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise Samir Wadhwa Roy Dong CML 29 9 0 05 Feb 2021
Causal Sufficiency and Actual Causation Sander Beckers 47 37 0 03 Feb 2021
Solving Bayesian Network Structure Learning Problem with Integer Linear Programming Ronald Seoh 23 1 0 06 Jul 2020
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks Simge Küçükyavuz Ali Shojaie Hasan Manzour Linchuan Wei Hao-Hsiang Wu 42 16 0 29 May 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets Jakob Runge 79 194 0 07 Mar 2020
DYNOTEARS: Structure Learning from Time-Series Data Roxana Pamfil Nisara Sriwattanaworachai Shaan Desai Philip Pilgerstorfer Paul Beaumont K. Georgatzis Bryon Aragam CML AI4TS BDL 79 193 0 02 Feb 2020
A Tutorial on Learning With Bayesian Networks David Heckerman CML 445 3,518 0 01 Feb 2020
Scaling structural learning with NO-BEARS to infer causal transcriptome networks Hao-Chih Lee M. Danieletto Riccardo Miotto S. Cherng J. Dudley CML 63 47 0 31 Oct 2019
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data Hasan Manzour Simge Küçükyavuz Ali Shojaie CML 53 38 0 23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 82 490 0 22 Apr 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo Xiangyu Zhang Haoyuan Mu Wen Heng Zechun Liu Yichen Wei Jian Sun 106 940 0 31 Mar 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series Jean-Yves Franceschi Aymeric Dieuleveut Martin Jaggi SSL AI4TS 59 456 0 30 Jan 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 47 69 0 21 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 102 950 0 04 Mar 2018
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 73 580 0 04 Oct 2017
Bayesian Network Learning via Topological Order Young Woong Park Diego Klabjan TPM 57 29 0 20 Jan 2017
Parameterized Complexity Results for Exact Bayesian Network Structure Learning S. Ordyniak Stefan Szeider 124 64 0 04 Feb 2014
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 116 576 0 26 Sep 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 119 3,984 0 27 Feb 2013
Being Bayesian about Network Structure N. Friedman D. Koller TPM 130 343 0 16 Jan 2013
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs Ali Shojaie George Michailidis CML 149 200 0 28 Nov 2009