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08/01/2023
Sharp Taylor Polynomial Enclosures in One Dimension
It is often useful to have polynomial upper or lower bounds on a one-dim...
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07/31/2023
Universal Majorization-Minimization Algorithms
Majorization-minimization (MM) is a family of optimization methods that ...
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12/22/2022
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications
We present a new algorithm for automatically bounding the Taylor remaind...
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11/30/2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Laser-plasma physics has developed rapidly over the past few decades as ...
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06/28/2019
Learning Effective Loss Functions Efficiently
We consider the problem of learning a loss function which, when minimize...
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02/21/2019
Bayes Optimal Early Stopping Policies for Black-Box Optimization
We derive an optimal policy for adaptively restarting a randomized algor...
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02/19/2019
Learning Optimal Linear Regularizers
We present algorithms for efficiently learning regularizers that improve...
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02/21/2018
Approximation Algorithms for Cascading Prediction Models
We present an approximation algorithm that takes a pool of pre-trained m...
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06/13/2012
New Techniques for Algorithm Portfolio Design
We present and evaluate new techniques for designing algorithm portfolio...
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02/25/2010