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01/12/2023
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
We show, to our knowledge, the first theoretical treatments of two commo...
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06/17/2020
Solving Constrained CASH Problems with ADMM
The CASH problem has been widely studied in the context of automated con...
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09/26/2013
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens
In this paper we propose a multi-armed bandit inspired, pool based activ...
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10/23/2012
MLPACK: A Scalable C++ Machine Learning Library
MLPACK is a state-of-the-art, scalable, multi-platform C++ machine learn...
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09/13/2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Since its inception, the modus operandi of multi-task learning (MTL) has...
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06/27/2012
Faster Gaussian Summation: Theory and Experiment
We provide faster algorithms for the problem of Gaussian summation, whic...
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06/20/2012
Fast Nonparametric Conditional Density Estimation
Conditional density estimation generalizes regression by modeling a full...
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02/18/2012
On the Sample Complexity of Predictive Sparse Coding
The goal of predictive sparse coding is to learn a representation of exa...
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02/14/2011
Dual-Tree Fast Gauss Transforms
Kernel density estimation (KDE) is a popular statistical technique for e...
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10/13/2008