| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu 0005 |
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment.  |
CLeaR  |
2024 |
DBLP BibTeX RDF |
|
| 1 | Fateme Jamshidi, Jalal Etesami, Negar Kiyavash |
Confounded Budgeted Causal Bandits. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva |
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar |
Causal Matching using Random Hyperplane Tessellations. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan |
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Philipp Dettling, Mathias Drton, Mladen Kolar |
On the Lasso for Graphical Continuous Lyapunov Models. |
CLeaR |
2024 |
DBLP BibTeX RDF |
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| 1 | Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter |
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Philip A. Boeken, Onno Zoeter, Joris M. Mooij |
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Martin Rohbeck, Brian Clarke, Katharina Mikulik, Alexandra Pettet, Oliver Stegle, Kai Ueltzhöffer |
Bicycle: Intervention-Based Causal Discovery with Cycles. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Kumar Ravikumar |
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong |
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Francisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen |
Fundamental Properties of Causal Entropy and Information Gain. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yanai Elazar, Jiayao Zhang 0001, David Wadden, Bo Zhang, Noah A. Smith |
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Urja Pawar, Christian Beder, Ruairi O'Reilly, Donna O'Shea |
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing |
Meaningful Causal Aggregation and Paradoxical Confounding. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia |
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman |
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le |
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Thomas Cook, Alan Mishler, Aaditya Ramdas |
Semiparametric Efficient Inference in Adaptive Experiments. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González 0002 |
Cautionary Tales on Synthetic Controls in Survival Analyses. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tobias Hatt, Stefan Feuerriegel |
Sequential Deconfounding for Causal Inference with Unobserved Confounders. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ignavier Ng, Biwei Huang, Kun Zhang 0001 |
Structure Learning with Continuous Optimization: A Sober Look and Beyond. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | David Strieder, Mathias Drton |
Dual Likelihood for Causal Inference under Structure Uncertainty. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee 0001, Mengdi Li, Sven Magg, Stefan Wermter |
Causal State Distillation for Explainable Reinforcement Learning. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler |
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ruta Binkyte, Carlos Antonio Pinzóon, Szilvia Lestyaan, Kangsoo Jung, Héeber Hwang Arcolezi, Catuscia Palamidessi |
Causal Discovery Under Local Privacy. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen |
Inference of nonlinear causal effects with application to TWAS with GWAS summary data. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Caterina De Bacco, Yixin Wang, David M. Blei |
A causality-inspired plus-minus model for player evaluation in team sports. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang |
Causal Layering via Conditional Entropy. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kevin Debeire, Andreas Gerhardus, Jakob Runge, Veronika Eyring |
Bootstrap aggregation and confidence measures to improve time series causal discovery. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Francesco Locatello, Vanessa Didelez (eds.) |
Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California, USA. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Damian Machlanski, Spyridon Samothrakis, Paul Clarke |
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro |
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Malte Luttermann, Mattis Hartwig, Tanya Braun, Ralf Möller 0001, Marcel Gehrke |
Lifted Causal Inference in Relational Domains. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alvaro Ribot, Chandler Squires, Caroline Uhler |
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Simon Bing, Urmi Ninad, Jonas Wahl, Jakob Runge |
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Konstantin Göbler, Tobias Windisch, Mathias Drton, Tim Pychynski, Martin Roth, Steffen Sonntag |
extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Søren Wengel Mogensen, Karin Rathsman, Per Nilsson |
Causal discovery in a complex industrial system: A time series benchmark. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Andrew Ying |
Causality for Functional Longitudinal Data. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Vitória Barin Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent |
On the Identifiability of Quantized Factors. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Romain Lopez, Jan-Christian Hütter, Ehsan Hajiramezanali, Jonathan K. Pritchard, Aviv Regev |
Toward the Identifiability of Comparative Deep Generative Models. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane |
Towards the Reusability and Compositionality of Causal Representations. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas |
Causal Optimal Transport of Abstractions. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yang Liu, Marius Hofert |
Implicit and Explicit Policy Constraints for Offline Reinforcement Learning. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri |
Extracting the Multiscale Causal Backbone of Brain Dynamics. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kang Du, Yu Xiang 0004 |
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning. |
CLeaR |
2024 |
DBLP BibTeX RDF |
|
| 1 | Connor Thomas Jerzak, Fredrik Daniel Johansson, Adel Daoud |
Image-based Treatment Effect Heterogeneity. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mirthe Maria Van Diepen, Ioan Gabriel Bucur, Tom Heskes, Tom Claassen |
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hao Zou 0001, Haotian Wang 0001, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui 0001 |
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman |
Causal Inference Despite Limited Global Confounding via Mixture Models. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rhys Howard, Lars Kunze |
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Julius von Kügelgen, Abdirisak Mohamed, Sander Beckers |
Backtracking Counterfactuals. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang 0001, Francesco Locatello |
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee |
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey M. Plis |
Causal Learning through Deliberate Undersampling. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sander Beckers, Joseph Y. Halpern, Christopher Hitchcock |
Causal Models with Constraints. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chi Zhang 0016, Karthika Mohan, Judea Pearl |
Causal Inference under Interference and Model Uncertainty. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee |
Non-parametric identifiability and sensitivity analysis of synthetic control models. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee |
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal |
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthias Tangemann, Steffen Schneider 0001, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf |
Unsupervised Object Learning via Common Fate. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuejiang Liu, Alexandre Alahi, Chris Russell 0001, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello |
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shiqing Yu, Mathias Drton, Ali Shojaie |
Directed Graphical Models and Causal Discovery for Zero-Inflated Data. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu |
Causal Abstraction with Soft Interventions. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | James Cussens |
Branch-Price-and-Cut for Causal Discovery. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus |
Stochastic Causal Programming for Bounding Treatment Effects. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Romain Lopez, Natasa Tagasovska, Stephen Ra, Kyunghyun Cho, Jonathan K. Pritchard, Aviv Regev |
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas |
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mário A. T. Figueiredo, Catarina A. Oliveira |
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric V. Strobl, Thomas A. Lasko |
Sample-Specific Root Causal Inference with Latent Variables. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mihaela van der Schaar, Cheng Zhang 0005, Dominik Janzing (eds.) |
Conference on Causal Learning and Reasoning, CLeaR 2023, 11-14 April 2023, Amazon Development Center, Tübingen, Germany, April 11-14, 2023. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Abhishek Kumar Umrawal |
Leveraging Causal Graphs for Blocking in Randomized Experiments. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jose M. Peña 0001 |
Factorization of the Partial Covariance in Singly-Connected Path Diagrams. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett |
Influence-Aware Attention for Multivariate Temporal Point Processes. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andreas W. M. Sauter, Erman Acar, Vincent François-Lavet |
A Meta-Reinforcement Learning Algorithm for Causal Discovery. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto |
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shantanu Gupta, David Childers, Zachary Chase Lipton |
Local Causal Discovery for Estimating Causal Effects. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu |
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Malte Luttermann, Marcel Wienöbst, Maciej Liskiewicz |
Practical Algorithms for Orientations of Partially Directed Graphical Models. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric V. Strobl, Thomas A. Lasko |
Generalizing Clinical Trials with Convex Hulls. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Søren Wengel Mogensen |
Instrumental Processes Using Integrated Covariances. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang 0001, Francesco Locatello |
Scalable Causal Discovery with Score Matching. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya 0001, Bernhard Schölkopf |
On the Interventional Kullback-Leibler Divergence. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ananth Balashankar, Srikanth Jagabathula, Lakshmi Subramanian |
Learning Conditional Granger Causal Temporal Networks. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haiying Huang 0002, Adnan Darwiche |
An Algorithm and Complexity Results for Causal Unit Selection. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wojciech Niemiro, Lukasz Rajkowski |
Local Dependence Graphs for Discrete Time Processes. |
CLeaR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler |
Causal Imputation via Synthetic Interventions. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kento Uemura, Takuya Takagi, Kambayashi Takayuki, Hiroyuki Yoshida, Shohei Shimizu |
A Multivariate Causal Discovery based on Post-Nonlinear Model. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ameen Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf |
Weakly Supervised Discovery of Semantic Attributes. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Arnoud A. W. M. de Kroon, Joris M. Mooij, Danielle Belgrave |
Causal Bandits without prior knowledge using separating sets. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bo Zhang, Jiayao Zhang 0001 |
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jake Fawkes, Robin J. Evans, Dino Sejdinovic |
Selection, Ignorability and Challenges With Causal Fairness. |
CLeaR |
2022 |
DBLP BibTeX RDF |
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| 1 | Philip Versteeg, Joris M. Mooij, Cheng Zhang |
Local Constraint-Based Causal Discovery under Selection Bias. |
CLeaR |
2022 |
DBLP BibTeX RDF |
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| 1 | Heyang Gong, Ke Zhu |
Info Intervention and its Causal Calculus. |
CLeaR |
2022 |
DBLP BibTeX RDF |
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| 1 | Rim Assouel, Lluís Castrejón, Aaron C. Courville, Nicolas Ballas, Yoshua Bengio |
VIM: Variational Independent Modules for Video Prediction. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Dhanya Sridhar, Caterina De Bacco, David M. Blei |
Estimating Social Influence from Observational Data. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shuyan Wang, Peter Spirtes |
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Razieh Nabi, Daniel Malinsky, Ilya Shpitser |
Optimal Training of Fair Predictive Models. |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Junzhe Zhang, Elias Bareinboim |
Can Humans Be out of the Loop? |
CLeaR |
2022 |
DBLP BibTeX RDF |
|
| 1 | Songhua Wu, Mingming Gong, Bo Han 0003, Yang Liu 0018, Tongliang Liu |
Fair Classification with Instance-dependent Label Noise. |
CLeaR |
2022 |
DBLP BibTeX RDF |
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