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1703.02645
Cited By
Cost-Optimal Learning of Causal Graphs
8 March 2017
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
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Papers citing
"Cost-Optimal Learning of Causal Graphs"
48 / 48 papers shown
Title
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors
Tohid Kargar Tasooji
Sakineh Khodadadi
Guangjun Liu
83
0
0
26 Mar 2025
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
Fateme Jamshidi
S. Akbari
Negar Kiyavash
CML
90
0
0
10 Mar 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery
Haoyue Dai
Ignavier Ng
Jianle Sun
Zeyu Tang
Gongxu Luo
Xinshuai Dong
Peter Spirtes
Kun Zhang
CML
118
0
0
10 Mar 2025
Graph Agnostic Causal Bayesian Optimisation
Sumantrak Mukherjee
Mengyan Zhang
Seth Flaxman
Sebastian Vollmer
CML
97
0
0
05 Nov 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Zihan Zhou
Muhammad Qasim Elahi
Murat Kocaoglu
CML
84
0
0
26 Oct 2024
Bayesian Intervention Optimization for Causal Discovery
Yuxuan Wang
Mingzhou Liu
Xinwei Sun
Wei Wang
Yizhou Wang
CML
43
0
0
16 Jun 2024
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı
Dmitriy A. Katz-Rogozhnikov
Dennis L. Wei
P. Sattigeri
A. Tajer
CML
88
1
0
12 Jun 2024
Causal Contextual Bandits with Adaptive Context
Rahul Madhavan
Aurghya Maiti
Gaurav Sinha
Siddharth Barman
CML
61
0
0
28 May 2024
Adaptive Online Experimental Design for Causal Discovery
Muhammad Qasim Elahi
Lai Wei
Murat Kocaoglu
Mahsa Ghasemi
CML
78
1
0
19 May 2024
Causal Discovery under Off-Target Interventions
Davin Choo
Kirankumar Shiragur
Caroline Uhler
CML
58
2
1
13 Feb 2024
Confounded Budgeted Causal Bandits
Fateme Jamshidi
Jalal Etesami
Negar Kiyavash
56
4
0
15 Jan 2024
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
Simon Bing
Urmi Ninad
Jonas Wahl
Jakob Runge
CML
100
6
0
05 Nov 2023
Meek Separators and Their Applications in Targeted Causal Discovery
Kirankumar Shiragur
Jiaqi Zhang
Caroline Uhler
CML
63
2
0
30 Oct 2023
Adaptivity Complexity for Causal Graph Discovery
Davin Choo
Kirankumar Shiragur
CML
47
3
0
09 Jun 2023
Active causal structure learning with advice
Davin Choo
Themis Gouleakis
Arnab Bhattacharyya
CML
79
3
0
31 May 2023
New metrics and search algorithms for weighted causal DAGs
Davin Choo
Kirankumar Shiragur
CML
65
1
0
08 May 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
Yashas Annadani
P. Tigas
Desi R. Ivanova
Andrew Jesson
Y. Gal
Adam Foster
Stefan Bauer
BDL
CML
89
13
0
21 Feb 2023
DAG Learning on the Permutahedron
Valentina Zantedeschi
Luca Franceschi
Jean Kaddour
Matt J. Kusner
Vlad Niculae
88
11
0
27 Jan 2023
Subset verification and search algorithms for causal DAGs
Davin Choo
Kirankumar Shiragur
CML
54
11
0
09 Jan 2023
Sample Constrained Treatment Effect Estimation
Raghavendra Addanki
David Arbour
Tung Mai
Cameron Musco
Anup B. Rao
49
7
0
12 Oct 2022
Verification and search algorithms for causal DAGs
Davin Choo
Kirankumar Shiragur
Arnab Bhattacharyya
CML
55
12
0
30 Jun 2022
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
124
47
0
02 Jun 2022
Fast Causal Orientation Learning in Directed Acyclic Graphs
Ramin Safaeian
Saber Salehkaleybar
M. Tabandeh
CML
28
2
0
27 May 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
97
3
0
20 May 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale
P. Tigas
Yashas Annadani
Andrew Jesson
Bernhard Schölkopf
Y. Gal
Stefan Bauer
CML
150
50
0
03 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
CML
ELM
103
54
0
07 Feb 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal
P. Srivastava
Gaurav Sinha
CML
87
2
0
09 Nov 2021
Intervention Efficient Algorithm for Two-Stage Causal MDPs
Rahul Madhavan
Aurghya Maiti
Gaurav Sinha
Siddharth Barman
41
1
0
01 Nov 2021
Learning Neural Causal Models with Active Interventions
Nino Scherrer
O. Bilaniuk
Yashas Annadani
Anirudh Goyal
Patrick Schwab
Bernhard Schölkopf
Michael C. Mozer
Yoshua Bengio
Stefan Bauer
Nan Rosemary Ke
CML
123
44
0
06 Sep 2021
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang
C. Squires
Caroline Uhler
95
16
0
05 Jul 2021
Causal Bandits with Unknown Graph Structure
Yangyi Lu
A. Meisami
Ambuj Tewari
CML
86
45
0
05 Jun 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex
Andreas Krause
Caroline Uhler
CML
94
20
0
28 May 2021
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
Raghavendra Addanki
A. Mcgregor
Cameron Musco
CML
55
10
0
27 Dec 2020
Budgeted and Non-budgeted Causal Bandits
V. Nair
Vishakha Patil
Gaurav Sinha
83
41
0
13 Dec 2020
Active Structure Learning of Causal DAGs via Directed Clique Tree
C. Squires
Sara Magliacane
Kristjan Greenewald
Dmitriy A. Katz
Murat Kocaoglu
Karthikeyan Shanmugam
CML
126
34
0
01 Nov 2020
Active Learning of Causal Structures with Deep Reinforcement Learning
Amir Amirinezhad
Saber Salehkaleybar
Matin Hashemi
CML
74
12
0
07 Sep 2020
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan L. Gamella
C. Heinze-Deml
OOD
73
46
0
10 Jun 2020
Efficient Intervention Design for Causal Discovery with Latents
Raghavendra Addanki
S. Kasiviswanathan
A. Mcgregor
Cameron Musco
CML
74
30
0
24 May 2020
Ivy: Instrumental Variable Synthesis for Causal Inference
Zhaobin Kuang
Frederic Sala
N. Sohoni
Sen Wu
A. Córdova-Palomera
Jared A. Dunnmon
J. Priest
Christopher Ré
CML
62
27
0
11 Apr 2020
Interventional Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
CML
56
10
0
12 Oct 2019
Estimation Rates for Sparse Linear Cyclic Causal Models
Jan-Christian Hütter
Philippe Rigollet
CML
57
3
0
08 Jun 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models
Dmitriy A. Katz
Karthikeyan Shanmugam
C. Squires
Caroline Uhler
CML
55
9
0
05 Mar 2019
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay
Piyushi Manupriya
Anirban Sarkar
V. Balasubramanian
CML
102
146
0
06 Feb 2019
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik M. Lindgren
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
63
37
0
28 Oct 2018
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
CML
88
168
0
25 Sep 2018
Learning and Testing Causal Models with Interventions
Jayadev Acharya
Arnab Bhattacharyya
C. Daskalakis
S. Kandasamy
CML
61
53
0
24 May 2018
Budgeted Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Elias Bareinboim
CML
116
64
0
11 Sep 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu
Christopher Snyder
A. Dimakis
S. Vishwanath
GAN
OOD
119
257
0
06 Sep 2017
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