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Found 3 papers, 1 papers with code
Joint Online Learning and Decision-making via Dual Mirror Descent
We consider an online revenue maximization problem over a finite time horizon subject to lower and upper bounds on cost.
Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training
The Frank-Wolfe method and its extensions are well-suited for delivering solutions with desirable structural properties, such as sparsity or low-rank structure.
Profit Maximization for Online Advertising Demand-Side Platforms
We develop an optimization model and corresponding algorithm for the management of a demand-side platform (DSP), whereby the DSP aims to maximize its own profit while acquiring valuable impressions for its advertiser clients.
Optimization and Control Computer Science and Game Theory
