Learning Latent Tree Graphical Models

14 September 2010

Vincent Y. F. Tan

Papers citing "Learning Latent Tree Graphical Models"

50 / 87 papers shown

Title
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Kun Zhang Zhen Zhang CML 216 0 0 29 Nov 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 55 8 0 12 Sep 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song Zijian Li Guangyi Chen Yujia Zheng Yewen Fan Xinshuai Dong Kun Zhang CML 36 2 0 05 Sep 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions Zhengming Chen Ruichu Cai Feng Xie Jie Qiao Anpeng Wu Zijian Li Zhifeng Hao Kun Zhang CML 39 0 0 11 Jun 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits G. Gala Cassio de Campos Antonio Vergari Erik Quaeghebeur TPM 71 4 0 10 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 52 4 0 01 Jun 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Zhenyu Pan Ammar Gilani En-Jui Kuo Zhuo Liu LRM 48 4 0 05 Mar 2024
Optimal estimation of Gaussian (poly)trees Yuhao Wang Ming Gao Wai Ming Tai Bryon Aragam Arnab Bhattacharyya TPM 34 1 0 09 Feb 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 34 7 0 25 Jan 2024
Probabilistic Integral Circuits G. Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur TPM 24 3 0 25 Oct 2023
Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte Aleksanteri Sladek Stefan Mengel Martin Trapp Arno Solin Nicolas Gillis Antonio Vergari TPM 51 21 0 01 Oct 2023
T-Stochastic Graphs Sijia Fang K. Rohe 29 1 0 04 Sep 2023
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables Feng Xie Erdun Gao Zhen Chen Ruichu Cai Clark Glymour Zhi Geng Kun Zhang CML 31 5 0 13 Aug 2023
Identification of Nonlinear Latent Hierarchical Models Lingjing Kong Erdun Gao Feng Xie Eric Xing Yuejie Chi Kun Zhang CML 32 19 0 13 Jun 2023
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 37 24 0 05 Jun 2023
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model Junwei Lu Jin Yin Tianxi Cai 33 3 0 31 May 2023
Robust Model Selection of Gaussian Graphical Models Abrar Zahin Rajasekhar Anguluri Lalitha Sankar O. Kosut Gautam Dasarathy 18 0 0 10 Nov 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints Erdun Gao C. Low Feng Xie Clark Glymour Kun Zhang CML 70 40 0 01 Oct 2022
Learning Distribution Grid Topologies: A Tutorial Deepjyoti Deka V. Kekatos G. Cavraro 18 47 0 22 Jun 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed Stefano Teso Kai-Wei Chang Guy Van den Broeck Antonio Vergari TPM 15 77 0 01 Jun 2022
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables Yuqi Gu 11 5 0 08 Mar 2022
Principled Diverse Counterfactuals in Multilinear Models I. Papantonis Vaishak Belle AAML 30 3 0 17 Jan 2022
Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample Michael Truell Jan-Christian Hütter C. Squires Piotr Zwiernik Caroline Uhler 21 6 0 01 Dec 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks Robert Lieck M. Rohrmeier BDL 22 5 0 02 Nov 2021
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees Fengzhuo Zhang Anshoo Tandon Vincent Y. F. Tan 24 1 0 27 Oct 2021
Robustifying Algorithms of Learning Latent Trees with Vector Variables Fengzhuo Zhang Vincent Y. F. Tan 16 4 0 02 Jun 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Spectral Top-Down Recovery of Latent Tree Models Yariv Aizenbud Ariel Jaffe Meng Wang Amber Hu Noah Amsel B. Nadler Joseph T. Chang Y. Kluger 12 2 0 26 Feb 2021
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise A. Katiyar Soumya Basu Vatsal Shah Constantine Caramanis 19 0 0 17 Feb 2021
Robust estimation of tree structured models M. Casanellas Marina Garrote-López Piotr Zwiernik NoLa 22 6 0 10 Feb 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples Anshoo Tandon Aldric H. J. Yuan Vincent Y. F. Tan 16 9 0 22 Jan 2021
Learning Restricted Boltzmann Machines with Sparse Latent Variables Guy Bresler Rares-Darius Buhai 18 2 0 07 Jun 2020
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples Anshoo Tandon Vincent Y. F. Tan Shiyao Zhu 25 7 0 09 May 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 22 30 0 06 Apr 2020
Latent Factor Analysis of Gaussian Distributions under Graphical Constraints M. Hasan Shuangqing Wei A. Moharrer 16 2 0 08 Jan 2020
Path Weights in Concentration Graphs A. Roverato R. Castelo 16 6 0 12 Jul 2019
Business Taxonomy Construction Using Concept-Level Hierarchical Clustering Haodong Bai Frank Xing Min Zhang Win-bin Huang 8 9 0 24 Jun 2019
Efficient Covariance Estimation from Temporal Data Hrayr Harutyunyan Daniel Moyer Hrant Khachatrian Greg Ver Steeg Aram Galstyan 24 2 0 30 May 2019
Robust estimation of tree structured Gaussian Graphical Model A. Katiyar Jessica Hoffmann Constantine Caramanis CML 24 14 0 25 Jan 2019
Algebraic tests of general Gaussian latent tree models Dennis Leung Mathias Drton 24 4 0 26 Oct 2018
Imagining the Unseen: Learning a Distribution over Incomplete Images with Dense Latent Trees Sebastian Kaltwang Sina Samangooei John Redford A. Blake 17 0 0 14 Aug 2018
Latent Variable Time-varying Network Inference Federico Tomasi Veronica Tozzo Saverio Salzo A. Verri CML 21 20 0 12 Feb 2018
Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image J. Malik Ahmed Elhayek D. Stricker 3DH 24 23 0 08 Dec 2017
Sum-Product Graphical Models Mattia Desana Christoph Schnörr TPM 16 6 0 21 Aug 2017
Latent tree models Piotr Zwiernik 31 12 0 02 Aug 2017
Fast structure learning with modular regularization Greg Ver Steeg Hrayr Harutyunyan Daniel Moyer Aram Galstyan 22 6 0 11 Jun 2017
Maximum likelihood estimation in Gaussian models under total positivity Steffen Lauritzen Caroline Uhler Piotr Zwiernik 15 69 0 14 Feb 2017
The Emergence of Organizing Structure in Conceptual Representation Brenden M. Lake Neil D. Lawrence J. Tenenbaum AI4CE 35 17 0 28 Nov 2016
Latent Tree Analysis N. Zhang Leonard K. M. Poon 13 20 0 01 Oct 2016
Unsupervised learning of transcriptional regulatory networks via latent tree graphical models A. Gitter Furong Huang R. Valluvan E. Fraenkel Anima Anandkumar 11 5 0 20 Sep 2016