
Learning Effective Loss Functions Efficiently
We consider the problem of learning a loss function which, when minimize...
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Bayes Optimal Early Stopping Policies for BlackBox Optimization
We derive an optimal policy for adaptively restarting a randomized algor...
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Learning Optimal Linear Regularizers
We present algorithms for efficiently learning regularizers that improve...
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Approximation Algorithms for Cascading Prediction Models
We present an approximation algorithm that takes a pool of pretrained m...
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New Techniques for Algorithm Portfolio Design
We present and evaluate new techniques for designing algorithm portfolio...
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Less Regret via Online Conditioning
We analyze and evaluate an online gradient descent algorithm with adapti...
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Matthew Streeter
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