Decisions.ai
Overview
Advances in algorithmic decision-making under uncertainty, combining normative models (e.g., utility theory, stochastic optimization) with data-driven approaches (reinforcement learning, bandits) to build intelligent decision-support systems in single- and multi-agent settings.
Location
CC 402
Principal Investigators
Recent Publications
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Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
arXiv preprint arXiv:2502.05037 (2025)
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A New Interpretation of the Certainty-Equivalence Approach for PAC Reinforcement Learning with a Generative Model
Shivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth
arXiv preprint arXiv:2501.02652 (2025)
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Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
arXiv preprint arXiv:2502.05037 (2025)
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Semi-bandit learning for monotone stochastic optimization
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS … (2024)
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Optimal and Adaptive Non-Stationary Dueling Bandits Under a Generalized Borda Criterion
Joe Suk, Arpit Agarwal
arXiv e-prints (2024)
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Online Recommendations for Agents with Discounted Adaptive Preferences
William Brown, Arpit Agarwal
International Conference on Algorithmic Learning Theory (2024)
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Misalignment, Learning, and Ranking: Harnessing Users Limited Attention
Arpit Agarwal, Rad Niazadeh, Prathamesh Patil
arXiv preprint arXiv:2402.14013 (2024)
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Explore-then-Commit Algorithms for Decentralized Two-sided Matching Markets
Tejas Pagare, Avishek Ghosh
IEEE International Symposium on Information Theory (ISIT) (2024)
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Competing Bandits in Non-Stationary Matching Markets
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
IEEE Transactions on Information Theory (2024)
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Competing Bandits in Decentralized Large Contextual Matching Markets
Satush Parikh, Soumya Basu, Avishek Ghosh, Abishek Sankararaman
arXiv preprint: https://arxiv.org/pdf/2411.11794 (2024)