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09/20/2022
Learning Acceptance Regions for Many Classes with Anomaly Detection
Set-valued classification, a new classification paradigm that aims to id...
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02/26/2022
Enhanced Nearest Neighbor Classification for Crowdsourcing
In machine learning, crowdsourcing is an economical way to label a large...
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06/26/2020
Covariance-engaged Classification of Sets via Linear Programming
Set classification aims to classify a set of observations as a whole, as...
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04/21/2020
A Robust Method for Estimating Individualized Treatment Effect
We consider an additive model with a main effect and effects from multip...
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04/06/2020
Near-optimal Individualized Treatment Recommendations
Individualized treatment recommendation (ITR) is an important analytic f...
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11/03/2019
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning
Two hitherto disconnected threads of research, diverse exploration (DE) ...
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09/03/2019
Rates of Convergence for Large-scale Nearest Neighbor Classification
Nearest neighbor is a popular class of classification methods with many ...
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06/07/2019
Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway
Accurate estimation of the run time of computational codes has a number ...
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02/10/2019
Diverse Exploration via Conjugate Policies for Policy Gradient Methods
We address the challenge of effective exploration while maintaining good...
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12/12/2018
Distributed Nearest Neighbor Classification
Nearest neighbor is a popular nonparametric method for classification an...
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09/28/2018
Learning Confidence Sets using Support Vector Machines
The goal of confidence-set learning in the binary classification setting...
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01/09/2017
On Reject and Refine Options in Multicategory Classification
In many real applications of statistical learning, a decision made from ...
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09/21/2015
Significance Analysis of High-Dimensional, Low-Sample Size Partially Labeled Data
Classification and clustering are both important topics in statistical l...
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09/17/2015
Sparse Fisher's Linear Discriminant Analysis for Partially Labeled Data
Classification is an important tool with many useful applications. Among...
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05/13/2015
Noncrossing Ordinal Classification
Ordinal data are often seen in real applications. Regular multicategory ...
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05/26/2014
Stabilized Nearest Neighbor Classifier and Its Statistical Properties
The stability of statistical analysis is an important indicator for repr...
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02/19/2014
A Statistical Approach to Set Classification by Feature Selection with Applications to Classification of Histopathology Images
Set classification problems arise when classification tasks are based on...
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10/11/2013
Flexible High-dimensional Classification Machines and Their Asymptotic Properties
Classification is an important topic in statistics and machine learning ...
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10/11/2013