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 Optimization





Fast Algorithms for Packing Proportional Fairness and its Dual

Neural Information Processing Systems

The assignment of bounded resources to several agents under some notions of fairness is a topic studied in networking, operations research, game theory, and economic theory.





High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization

Neural Information Processing Systems

Here we consider contextual policies that are a map from a discrete context to a set of continuous parameters . For example, video streaming and real-time conferencing systems use adaptive bitrate (ABR) algorithms to balance between video quality and uninterrupted playback.