Information Sciences Group
Ali Tajer
Associate Professor
Electrical, Computer, and Systems Engineering
Rensselaer Polytechnic Institute
(518) 276-8237
6040 Jonsson Engineering Center, 110 8th Street, Troy, NY 12180
Interests: I am broadly interested in the theoretical and algorithmic aspects of mathematical statistics, information theory, and machine learning. My research is driven by application domains such as power systems and wireless communication networks.
Short bio: I received the B.Sc. (2002) and M.Sc. (2004) degrees in Electrical Engineering from Sharif University of Technology, and the M.A. degree in Statistics and the Ph.D. degree (2010) in Electrical Engineering from Columbia University. I was a postdoctoral research associate at Princeton University from 2010 to 2012.
I am currently an Associate Editor for the IEEE Transactions on Information Theory. In the past, I have served as an Associate Editor for the IEEE Transactions on Signal Processing, an Associate Editor for the IEEE Transactions on Communications, an Editor for the IEEE Transactions on Smart Grids, a Guest Editor for the IEEE Signal Processing Magazine, and a Guest Editor-in-Chief for the IEEE Transactions on Smart Grid. I received an NSF CAREER Award in 2016, the Jury Award for Excellence in Research in 2011 from Columbia University, and the James M . Tien '66 Early Career Award from Rensselaer.
Recent representative publications:
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Manuscript on oracle complexity of combinatorial bandits (arXiv).
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Manuscript on causal representation learning -- linear and general transformations (arXiv).
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Manuscript on causal representation learning -- linear transformations (arXiv).
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Paper on multi-node causal representation learning (NeurIPS 2024).
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Paper on finite-sample causal representation learning (NeurIPS 2024).
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Paper on intervention-based learning of DAG mixtures (NeurIPS 2024).
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Paper on causal bandits with unknown DAGs and soft interventions (NeurIPS 2024).
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Paper on physics-guided RL for power systems (NeurIPS 2024).
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Paper on addressing ß-optimality of BAI in stochastic bandits (IEEE Transactions on Information Theory, 2024).
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Manuscript on physics-guided RL for blackout mitigation in power systems (IEEE Transactions on Power Systems, 2024).
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Paper on best arm identification in restless bandits (IEEE Transactions on Information Theory, 2024).
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Paper on the robustness of causal bandits (IEEE Journal on Selected Areas in Information Theory, 2024).
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Paper on causal representation learning -- general transformations (AISTATS 2024).
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Paper on causal bandits with general models and continuous interventions (AISTATS 2024).
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Paper on causal discovery from mixture models (Transactions on Machine Learning Research, 2024).
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Paper on causal bandits with linear models (Journal of Machine Learning Research, 2023).
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Paper on SPRT-based BAI in stochastic bandits (IEEE Journal on Selected Areas in Information Theory, 2024).
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Paper on estimating high-dimensional graphical structures (IEEE Transactions on Information Theory, 2023).
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An edited book entitled "Advanced Data Analytics for Power Systems", Cambridge University Press.