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10/24/2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
We consider local kernel metric learning for off-policy evaluation (OPE)...
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08/20/2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers
A reliable evaluation method is essential for building a robust out-of-d...
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05/12/2021
Autoencoding Under Normalization Constraints
Likelihood is a standard estimate for outlier detection. The specific ro...
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03/16/2021
Learning to increase matching efficiency in identifying additional b-jets in the tt̅bb̅ process
The tt̅H(bb̅) process is an essential channel to reveal the Higgs proper...
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05/29/2018
K-Beam Subgradient Descent for Minimax Optimization
Minimax optimization plays a key role in adversarial training of machine...
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05/22/2018
Nearest neighbor density functional estimation based on inverse Laplace transform
A general approach to L_2-consistent estimation of various density funct...
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06/30/2014
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Estimation of density derivatives is a versatile tool in statistical dat...
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09/19/2011
