[J64]

B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer. Score-based Causal Representation Learning from Interventions.

[J61]

P. N. Karthik, V. Y. F. Tan, A. Mukherjee, and A. Tajer. Optimal Best Restless Markov Arm Identification with Fixed Confidence.

[J60]

A. Mukherjee and A. Tajer. Efficient Best Arm Identification in Stochastic Bandits: Beyond β−optimality

[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 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 International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, May 2024.

[J59]

Z. Yan, B. Varıcı, A. Mukherjee, and A. Tajer. Robust Causal Bandits for Linear Models, Journal of Selected Areas in Information Theory, 5:78 – 93, March 2024.

[C93]

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

[J57]

B. Varıcı, D. Katz-Rogozhnikov, A. Tajer, D. Wei, and P. Sattigeri. Separability Analysis for Causal Discovery in Mixture of DAGs, Transactions on Machine Learning Research, October 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, Vancouver, Canada, October 2023.

[J56]

B. Varıcı, K. Shanmugam, P. Sattigeri, and A. Tajer. Causal Bandits for Linear Structural Equation Models. Journal of Machine Learning Research, September 2023.

[J55]

A. Mukherjee and A. Tajer. SPRT-based Efficient Best Arm Identification in Stochastic Bandits. Journal of Selected Areas in Information Theory, 4:128 – 143, June 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, Washington, D.C., February 2023.

[J54]

S. Sihag and A. Tajer. Estimating structurally similar graphical models. IEEE Transactions on Information Theory, 69(2):1093–1124, Februrary 2023

[J51]

S. Sihag, A. Tajer, and U. Mitra. Adaptive graph-constrained group testing. IEEE Transactions on Signal Processing, 70:381 – 396, 2022.