constraint function
Online Ad Procurement in Non-stationary Autobidding Worlds
Today's online advertisers procure digital ad impressions through interacting with
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Constrained Cross-Entropy Method for Safe Reinforcement Learning
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Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
Surprisingly, the analysis is short and elegant.
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Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
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CBP: Backpropagation with constraint on weight precision using pseudo-Lagrange multiplier method
Backward propagation of errors (backpropagation) is a method to minimize objective functions (e.g., loss functions) of deep neural networks by identifying optimal
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AdaptationPropertiesAllowIdentificationof OptimizedNeuralCodes
The adaptation of neural codes to the statistics of their environment is well captured by efficient coding approaches.
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