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Non-Parametric Stochastic Sequential Assignment With Random Arrival Times


Jun 09, 2021
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy

* Accepted to IJCAI '21, full version with Supplementary Material 

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AI pptX: Robust Continuous Learning for Document Generation with AI Insights


Oct 02, 2020
Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant Reddy, Manuela Veloso

* We introduce a novel framework called "AI pptX"for creating and modifying documents as well as extract insights in the form of natural language sentences from data. Accepted at NeurIPS 2019: Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy 10 pages in total (8 pages + 2 (Acknowledgements, references etc.)) , 5 figures 

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Calibration of Shared Equilibria in General Sum Partially Observable Markov Games


Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso


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Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty


Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso


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Latent Bayesian Inference for Robust Earnings Estimates


Apr 14, 2020
Chirag Nagpal, Robert E. Tillman, Prashant Reddy, Manuela Veloso

* NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness and Privacy 

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Heuristics for Link Prediction in Multiplex Networks


Apr 09, 2020
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso

* Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020) 

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Reinforcement Learning for Market Making in a Multi-agent Dealer Market


Nov 14, 2019
Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy, Manuela Veloso


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