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Z. Yan, B. Varıcı, A. Mukherjee, and A. Tajer. Robust Causal Bandits for Linear Models.
B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer. General Identifiability and Achievability for Causal Representation Learning.
P. N. Karthik, V. Y. F. Tan, A. Mukherjee, and A. Tajer. Optimal Best Restless Markov Arm Identification with Fixed Confidence.
A. Mukherjee and A. Tajer. Efficient Best Arm Identification in Stochastic Bandits: Beyond β−optimality
B. Varıcı, E. Acartürk, K. Shanmugam, and A. Tajer. Score-based Causal Representation Learning from Interventions.
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.
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.
B. Varıcı, K. Shanmugam, P. Sattigeri, and A. Tajer. Causal Bandits for Linear Structural Equation Models. Journal of Machine Learning Research, September 2023.
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.
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.
S. Sihag and A. Tajer. Estimating structurally similar graphical models. IEEE Transactions on Information Theory, 69(2):1093–1124, Februrary 2023
S. Sihag, A. Tajer, and U. Mitra. Adaptive graph-constrained group testing. IEEE Transactions on Signal Processing, 70:381 – 396, 2022.
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