ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.15353
  4. Cited By
Learning Discrete Directed Acyclic Graphs via Backpropagation

Learning Discrete Directed Acyclic Graphs via Backpropagation

27 October 2022
A. Wren
Pasquale Minervini
Luca Franceschi
Valentina Zantedeschi
ArXivPDFHTML

Papers citing "Learning Discrete Directed Acyclic Graphs via Backpropagation"

15 / 15 papers shown
Title
Differentiable DAG Sampling
Differentiable DAG Sampling
Bertrand Charpentier
Simon Kibler
Stephan Günnemann
75
42
0
16 Mar 2022
Bayesian Structure Learning with Generative Flow Networks
Bayesian Structure Learning with Generative Flow Networks
T. Deleu
António Góis
Chris C. Emezue
M. Rankawat
Simon Lacoste-Julien
Stefan Bauer
Yoshua Bengio
BDL
83
155
0
28 Feb 2022
A survey of Bayesian Network structure learning
A survey of Bayesian Network structure learning
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
64
190
0
23 Sep 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
59
85
0
03 Jun 2021
DiBS: Differentiable Bayesian Structure Learning
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch
Jonas Rothfuss
Bernhard Schölkopf
Andreas Krause
50
87
0
25 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
109
300
0
03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To
  Game
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach
C. Seiler
S. Weichwald
CML
66
141
0
26 Feb 2021
Causal Autoregressive Flows
Causal Autoregressive Flows
Ilyes Khemakhem
R. Monti
R. Leech
Aapo Hyvarinen
CML
OOD
AI4CE
66
110
0
04 Nov 2020
Masked Gradient-Based Causal Structure Learning
Masked Gradient-Based Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhuangyan Fang
Haoyang Li
Zhitang Chen
Jun Wang
CML
112
117
0
18 Oct 2019
Learning Neural Causal Models from Unknown Interventions
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke
O. Bilaniuk
Anirudh Goyal
Stefan Bauer
Hugo Larochelle
Bernhard Schölkopf
Michael C. Mozer
C. Pal
Yoshua Bengio
CML
OOD
102
168
0
02 Oct 2019
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric Xing
CML
153
260
0
29 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
661
5,798
0
25 Jul 2019
Gradient-Based Neural DAG Learning
Gradient-Based Neural DAG Learning
Sébastien Lachapelle
P. Brouillard
T. Deleu
Simon Lacoste-Julien
BDL
CML
57
275
0
05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
76
486
0
22 Apr 2019
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
118
605
0
14 Nov 2012
1