publications

2024

  1. AISTATS (oral)
    General Identifiability and Achievability for Causal Representation Learning
    Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, and Ali Tajer
    In Proc. International Conference on Artificial Intelligence and Statistics, May 2024
  2. JSAIT
    Robust Causal Bandits for Linear Models
    Zirui Yan, Arpan Mukherjee, Burak Varıcı, and Ali Tajer
    IEEE Journal on Selected Areas in Information Theory, May 2024
  3. TMLR
    Separability Analysis for Causal Discovery in Mixture of DAGs
    Burak Varıcı, Dmitriy Katz-Rogozhnikov, Dennis Wei, Prasanna Sattigeri, and Ali Tajer
    Transactions on Machine Learning Research, May 2024
  4. arXiv
    Score-based causal representation learning: Linear and General Transformations
    Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, and Ali Tajer
    arXiv:2402.00849, May 2024

2023

  1. JMLR
    Causal Bandits for Linear Structural Equation Models
    Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
    Journal of Machine Learning Research, May 2023
  2. arXiv
    Score-based causal representation learning with interventions
    Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Abhishek Kumar, and Ali Tajer
    arXiv:2301.08230, May 2023

2022

  1. UAI
    Intervention target estimation in the presence of latent variables
    Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
    In Proc. Conference on Uncertainty in Artificial Intelligence, Aug 2022

2021

  1. AISTATS
    Learning Shared Subgraphs in Ising Model Pairs
    Burak Varici, Saurabh Sihag, and Ali Tajer
    In Proc. International Conference on Artificial Intelligence and Statistics, Apr 2021
  2. NeurIPS
    Scalable Intervention Target Estimation in Linear Models
    Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, and Ali Tajer
    In Proc. Advances in Neural Information Processing Systems, Dec 2021