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Tradeoffs in Streaming Binary Classification under Limited Inspection Resources
Institutions are increasingly relying on machine learning models to iden...
10/05/2021 ∙ by Parisa Hassanzadeh, et al. ∙
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Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
We consider a problem wherein jobs arrive at random times and assume ran...
06/09/2021 ∙ by Danial Dervovic, et al. ∙
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AI pptX: Robust Continuous Learning for Document Generation with AI Insights
Business analysts create billions of slide decks, reports and documents ...
10/02/2020 ∙ by Vineeth Ravi, et al. ∙
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Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
Training multi-agent systems (MAS) to achieve realistic equilibria gives...
06/23/2020 ∙ by Nelson Vadori, et al. ∙
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Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty
We introduce a novel framework to account for sensitivity to rewards unc...
06/23/2020 ∙ by Nelson Vadori, et al. ∙
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Latent Bayesian Inference for Robust Earnings Estimates
Equity research analysts at financial institutions play a pivotal role i...
04/14/2020 ∙ by Chirag Nagpal, et al. ∙
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Heuristics for Link Prediction in Multiplex Networks
Link prediction, or the inference of future or missing connections betwe...
04/09/2020 ∙ by Robert E. Tillman, et al. ∙
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Reinforcement Learning for Market Making in a Multi-agent Dealer Market
Market makers play an important role in providing liquidity to markets b...
11/14/2019 ∙ by Sumitra Ganesh, et al. ∙
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