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Found 5 papers, 0 papers with code
Convexification of Learning from Constraints
For common loss and regularization functions, this optimization problem assumes the form of a mixed integer program (MIP) whose objective function is non-convex.
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
An increasing number of works explore collaborative human-computer systems in which human gaze is used to enhance computer vision systems.
Constrained Bayesian Optimization with Max-Value Entropy Search
We propose constrained Max-value Entropy Search (cMES), a novel information theoretic-based acquisition function implementing this formulation.
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
To democratize access to machine learning systems, it is essential to automate the tuning.
Amazon SageMaker Autopilot: a white box AutoML solution at scale
AutoML systems provide a black-box solution to machine learning problems by selecting the right way of processing features, choosing an algorithm and tuning the hyperparameters of the entire pipeline.
