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Ali Tajer
Professor, ECSE and CS
Rensselaer Polytechnic Institute
(518) 276-8237
3018 Jonsson Engineering Center (JEC)
110 8th Street, Troy, NY 12180
[J61] | A. Chaudhuri, G. Fellouris, and A. Tajer. Round Robin Active Sequential Change Detection for Dependent Multi-Channel Data. IEEE Transactions on Information Theory, 70(12):9327– 9351, December 2024. | |
[J53] | M. Zohdy, A. Tajer, and S. Shamai (Shitz). Broadcast Approach to Uplink NOMA: Queuing Delay Analysis. Entropy, 24(12), November 2022. | |
[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, Netherlands, August 2022 | |
[C89] | A. Mukherjee and A. Tajer. SPRT-Based Best Arm Identification in Stochastic Bandits. InProc. IEEE International Symposium on Information Theory, 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, Singapore, May 2022 | |
[J50] | A. Tajer, J. Heydari, and H. V. Poor. Active sampling for the quickest detection of Markov networks. IEEE Transactions on Information Theory, 68(4):2479–2508, April 2022. | |
[J49] | A. Dwivedi, S. Wang, and A. Tajer. Linear Discriminant Analysis under f -divergence Measures. Entropy, 24(2), 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, 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, Melbourne, Australia, June 2021 | |
[C82] | A. Dwivedi, S. Wang, and A. Tajer. Linear Discriminant Analysis under f -divergence Measures. In Proc. IEEE International Symposium on Information Theory, Melbourne, Australia, June 2021 | |
[C81] | S. Sihag, A. Tajer, and U. Mitra. Two-stage Graph-constrained Group Testing: Theory and Application. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada, June 2021 | |
[C79] | B. Varıcı, S. Sihag, and A. Tajer. Learning Shared Subgraphs in Ising Model Pairs. International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, CA, April 2021 | |
[J47] | A. Tajer, A. Steiner, and S. Shamai (Shitz). The broadcast approach in communication networks. Entropy, 23(1):1–137, January 2021. | |
[J46] | M. Zohdy, A. Tajer, and S. Shamai (Shitz). Distributed Interference Management: A Broadcast Approach. IEEE Transactions on Communications, 69(1):149 – 163, January 2021. | |
[J45] | S. Sihag and A. Tajer, "Secure estimation under causative attacks", IEEE Transactions on Information Theory, 66(8):5145 – 5166, August 2020. | |
[C78] | S. Sihag and A. Tajer. Approximate Recovery Of Ising Models with Side Information. In Proc. IEEE International Symposium on Information Theory, Los Angeles, CA, June 2020 | |
[C77] | M. Zohdy, A. Tajer, and S. Shamai (Shitz). Interference Management without CSIT: A Broadcast Approach. In Proc. IEEE International Symposium on Information Theory, Los Angeles, CA, June 2020 | |
[J44] | M. Zohdy, A. Tajer, and S. Shamai (Shitz). Broadcast Approach to Multiple Access with Local CSIT. IEEE Transactions on Communications, 67(11):7483–7498, November 2019. |
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