CLeaR 2023 Conference Submissions

Leveraging Causal Graphs for Blocking in Randomized Experiments
Abhishek Kumar Umrawal
- Published: 17 Mar 2023, Last Modified: 11 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto
- Published: 17 Mar 2023, Last Modified: 22 Oct 2023
- CLeaR 2023 Poster
- Readers: Everyone
An Algorithm and Complexity Results for Causal Unit Selection
Haiying Huang, Adnan Darwiche
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Oral
- Readers: Everyone
Practical Algorithms for Orientations of Partially Directed Graphical Models
Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz
- Published: 17 Mar 2023, Last Modified: 05 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Unsupervised Object Learning via Common Fate
Matthias Tangemann, Steffen Schneider, Julius Von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kuemmerer, Matthias Bethge, Bernhard Schölkopf
- Published: 17 Mar 2023, Last Modified: 22 Oct 2023
- CLeaR 2023 Poster
- Readers: Everyone
On the Interventional Kullback-Leibler Divergence
Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
- Published: 17 Mar 2023, Last Modified: 19 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
- Published: 17 Mar 2023, Last Modified: 19 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Causal Inference under Interference and Model Uncertainty
Chi Zhang, Karthika Mohan, Judea Pearl
- Published: 17 Mar 2023, Last Modified: 01 Jun 2023
- CLeaR 2023 Poster
- Readers: Everyone
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta, David Childers, Zachary Chase Lipton
- Published: 17 Mar 2023, Last Modified: 22 Oct 2023
- CLeaR 2023 Poster
- Readers: Everyone
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
- Published: 17 Mar 2023, Last Modified: 19 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
Rhys Peter Matthew Howard, Lars Kunze
- Published: 17 Mar 2023, Last Modified: 25 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Influence-Aware Attention for Multivariate Temporal Point Processes
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin Bennett
- Published: 17 Mar 2023, Last Modified: 22 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Causal Learning through Deliberate Undersampling
Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey Plis
- Published: 17 Mar 2023, Last Modified: 15 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Image-based Treatment Effect Heterogeneity
Connor Thomas Jerzak, Fredrik Daniel Johansson, Adel Daoud
- Published: 17 Mar 2023, Last Modified: 25 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
Shiqing Yu, Mathias Drton, Ali Shojaie
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Oral
- Readers: Everyone
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Causal Inference Despite Limited Global Confounding via Mixture Models
Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard Schulman
- Published: 17 Mar 2023, Last Modified: 27 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
A Meta-Reinforcement Learning Algorithm for Causal Discovery
Andreas W.M. Sauter, Erman Acar, Vincent Francois-Lavet
- Published: 17 Mar 2023, Last Modified: 22 Oct 2023
- CLeaR 2023 Poster
- Readers: Everyone
Causal Abstraction with Soft Interventions
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
- Published: 17 Mar 2023, Last Modified: 19 May 2023
- CLeaR 2023 Oral
- Readers: Everyone
Instrumental Processes Using Integrated Covariances
Søren Wengel Mogensen
- Published: 17 Mar 2023, Last Modified: 22 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Branch-Price-and-Cut for Causal Discovery
James Cussens
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Poster
- Readers: Everyone
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan Pritchard, Aviv Regev
- Published: 17 Mar 2023, Last Modified: 22 Oct 2023
- CLeaR 2023 Poster
- Readers: Everyone
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, W. Dhammika Widanage, Theodoros Damoulas
- Published: 17 Mar 2023, Last Modified: 07 May 2023
- CLeaR 2023 Oral
- Readers: Everyone
Learning Conditional Granger Causal Temporal Networks
Ananth Balashankar, Srikanth Jagabathula, Lakshmi Subramanian
- Published: 17 Mar 2023, Last Modified: 26 May 2023
- CLeaR 2023 Poster
- Readers: Everyone