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[C102]

Anmol Dwivedi and Nurali Virani and Santiago Paternain and Ali Tajer. RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors. Proc. Conference on Neural Information Processing Systems (NeurIPS) -- Tackling Climate Change with Machine Learning Workshop. Vancouver, Canada, December 2024.

[C101]

Z. Yan and A. Tajer. Linear Causal Bandits: Unknown Graph and Soft Interventions. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.

[C100]

B. Varici, D. Katz-Rogozhniko, D. Wei, P. Sattiger, A. Tajer. Interventional Causal Discovery in a Mixture of DAGs. in Proc. Conference on Neural Information Processing Systems (NeurIPS). Vancounver, Canada, December 2024.

[C99]

E. Acartürk. B. Varıcı, K. Shanmugam, and A. Tajer. Sample Complexity of Interventional Causal Representation Learning. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.

[C98]

B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer. Linear Causal Representation Learning from Unknown Multi-node Interventions. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.

[C97]

A. Mukherjee and A. Tajer. BAI in Exponential Family: Efficiency and Optimality. In Proc. IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

[C96]

Z. Yan, A. Mukherjee, B. Varıcı, and A. Tajer. Improved Bound for Robust Causal Bandits with Linear Models. In Proc. IEEE International Symposium on Information Theory (ISIT), Athens, Greece, July 2024.

[C95]

B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer. General Identifiability and Achievability for Causal Representation Learning. In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2024.

[C94]

Z. Yan, D. Wei, D. Katz-Rogozhnikov, P. Sattigeri, and A. Tajer. General Causal Bandits: General Causal Models and Interventions. In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2024.

[C93]

B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer.  Score-based Causal Representation Learning from Interventions: Nonparametric IdentifiabilityIn Proc. Conference on Neural Information Processing Systems (NeurIPS) – Workshop on Causal Representation Learning, New Orleans, LA, December 2023.

[C92]

J. Zhang, H. Chao, A. Dhurandhar, P.-Y. Chen, A. Tajer, Y. Xu, and P. Yan. Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, October 2023.

[C91]

J. Zhang, H. Chao, A. Dhurandhar, P.-Y. Chen, A. Tajer, Y. Xu, and P. Yan. When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. In Proc. AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C., February 2023.

[C90]

B. Varıcı, K. Shanmugam, P. Sattigeri, and A. Tajer. Intervention Target Estimation in the Presence of Latent Variables. In Proc. The Conference on Uncertainty in Artificial Intelligence, Amsterdam (UAI), Netherlands, August 2022

[C89]

A. Mukherjee and A. Tajer. SPRT-Based Best Arm Identification in Stochastic Bandits. In Proc. IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, July 2022

[C88]

Z. Yan, Q. Xiao, T. Chen, and A. Tajer. Federated multi-armed bandit via uncoordinated exploration. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022

[C87]

B. Varıcı, K. Shanmugam, P. Sattigeri, and A. Tajer. Scalable Intervention Target Estimation in Linear Models. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 2021

[C86]

A. Mukherjee, A. Tajer, P.-Y. Chen, and P. Das. Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Virtual, December 2021

[C85]

J. Heydari and A. Tajer. Active Sampling for Binary Gaussian Model Testing in High Dimensions. In Proc. International Conference on Machine Learning (ICML), Virtual, July 2021

[C84]

A. Chaudhuri, G. Fellouris, and A. Tajer. Sequential Change Detection of a Correlation structure under a Sampling Constraint. In Proc. IEEE International Symposium on Information Theory (ISIT), Melbourne, Australia, June 2021

[C83]

A. Mukherjee, A. Tajer, P.-Y. Chen, and P. Das. Active Binary Classification of Random Fields. In Proc. IEEE International Symposium on Information Theory (ISIT), Melbourne, Australia, June 2021

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