@inproceedings{varici2024general,title={General Identifiability and Achievability for Causal Representation Learning},author={Var{\i}c{\i}, Burak and Acart{\"u}rk, Emre and Shanmugam, Karthikeyan and Tajer, Ali},booktitle={Proc. International Conference on Artificial Intelligence and Statistics},year={2024},address={Valencia, Spain},}
NeurIPS
Linear Causal Representation Learning from Unknown Multi-node Interventions
Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, and Ali Tajer
In Proc. Advances in Neural Information Processing Systems, 2024
@inproceedings{varici2024linear,title={Linear Causal Representation Learning from Unknown Multi-node Interventions},author={Var{\i}c{\i}, Burak and Acart{\"u}rk, Emre and Shanmugam, Karthikeyan and Tajer, Ali},booktitle={Proc. Advances in Neural Information Processing Systems},year={2024},}
NeurIPS
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı, Dmitriy A Katz, Dennis Wei, Prasanna Sattigeri, and Ali Tajer
In Proc. Advances in Neural Information Processing Systems, 2024
@inproceedings{varici2024interventional,title={Interventional Causal Discovery in a Mixture of DAGs},author={Var{\i}c{\i}, Burak and Katz, Dmitriy A and Wei, Dennis and Sattigeri, Prasanna and Tajer, Ali},booktitle={Proc. Advances in Neural Information Processing Systems},year={2024},}
NeurIPS
Sample Complexity of Interventional Causal Representation Learning
Emre Acartürk, Burak Varıcı, Karthikeyan Shanmugam, and Ali Tajer
In Proc. Advances in Neural Information Processing Systems, 2024
@inproceedings{acarturk2024sample,title={Sample Complexity of Interventional Causal Representation Learning},author={Acart{\"u}rk, Emre and Var{\i}c{\i}, Burak and Shanmugam, Karthikeyan and Tajer, Ali},booktitle={Proc. Advances in Neural Information Processing Systems},year={2024},}
arXiv
Score-based causal representation learning: Linear and General Transformations
Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, and Ali Tajer
@article{varici2024score,title={Score-based causal representation learning: Linear and General Transformations},author={Var{\i}c{\i}, Burak and Acart{\"u}rk, Emre and Shanmugam, Karthikeyan and Kumar, Abhishek and Tajer, Ali},journal={arXiv:2402.00849},year={2024},}
TMLR
Separability Analysis for Causal Discovery in Mixture of DAGs
Burak Varıcı, Dmitriy Katz-Rogozhnikov, Dennis Wei, Prasanna Sattigeri, and Ali Tajer
@article{varici2024separability,title={Separability Analysis for Causal Discovery in Mixture of {DAG}s},author={Var{\i}c{\i}, Burak and Katz-Rogozhnikov, Dmitriy and Wei, Dennis and Sattigeri, Prasanna and Tajer, Ali},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2024},url={https://openreview.net/forum?id=ALRWXT1RLZ}}
JSAIT
Robust Causal Bandits for Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı, and Ali Tajer
IEEE Journal on Selected Areas in Information Theory, 2024
@article{yan2024robust,title={Robust Causal Bandits for Linear Models},author={Yan, Zirui and Mukherjee, Arpan and Var{\i}c{\i}, Burak and Tajer, Ali},journal={IEEE Journal on Selected Areas in Information Theory},year={2024},}
ISIT
Improved Bound for Robust Causal Bandits with Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı, and Ali Tajer
In International Symposium on Information Theory, 2024
@inproceedings{yan2024improved,title={Improved Bound for Robust Causal Bandits with Linear Models},author={Yan, Zirui and Mukherjee, Arpan and Var{\i}c{\i}, Burak and Tajer, Ali},booktitle={International Symposium on Information Theory},year={2024},address={Athens, Greece},}
2023
JMLR
Causal Bandits for Linear Structural Equation Models
Burak Varıcı, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
@article{varici2023causal,author={Var{\i}c{\i}, Burak and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Tajer, Ali},title={Causal Bandits for Linear Structural Equation Models},journal={Journal of Machine Learning Research},year={2023},volume={24},number={297},pages={1--59},url={http://jmlr.org/papers/v24/22-0969.html},}
arXiv
Score-based causal representation learning with interventions
Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, and Ali Tajer
@article{varici2023score,title={Score-based causal representation learning with interventions},author={Var{\i}c{\i}, Burak and Acartürk, Emre and Shanmugam, Karthikeyan and Kumar, Abhishek and Tajer, Ali},journal={arXiv:2301.08230},year={2023},}
2022
UAI
Intervention target estimation in the presence of latent variables
Burak Varıcı, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
In Proc. Conference on Uncertainty in Artificial Intelligence, 2022
@inproceedings{varici2022intervention,title={Intervention target estimation in the presence of latent variables},author={Var{\i}c{\i}, Burak and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Tajer, Ali},booktitle={Proc. Conference on Uncertainty in Artificial Intelligence},pages={2013--2023},year={2022},address={Eindhoven, Netherlands},}
2021
AISTATS
Learning Shared Subgraphs in Ising Model Pairs
Burak Varıcı, Saurabh Sihag, and Ali Tajer
In Proc. International Conference on Artificial Intelligence and Statistics, 2021
@inproceedings{varici2021learning,title={Learning Shared Subgraphs in Ising Model Pairs},author={Var{\i}c{\i}, Burak and Sihag, Saurabh and Tajer, Ali},booktitle={Proc. International Conference on Artificial Intelligence and Statistics},pages={3952--3960},year={2021},}
NeurIPS
Scalable Intervention Target Estimation in Linear Models
Burak Varıcı, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
In Proc. Advances in Neural Information Processing Systems, 2021
@inproceedings{varici2021scalable,title={Scalable Intervention Target Estimation in Linear Models},author={Var{\i}c{\i}, Burak and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Tajer, Ali},booktitle={Proc. Advances in Neural Information Processing Systems},year={2021},pages={1494--1505},}