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08/21/2023
Personalized Event Prediction for Electronic Health Records
Clinical event sequences consist of hundreds of clinical events that rep...
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04/06/2022
Learning to Adapt Clinical Sequences with Residual Mixture of Experts
Clinical event sequences in Electronic Health Records (EHRs) record deta...
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06/28/2021
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
Low-prior targets are common among many important clinical events, which...
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04/05/2021
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning
Clinical event sequences consist of thousands of clinical events that re...
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12/19/2019
Contextual Outlier Detection in Continuous-Time Event Sequences
Continuous-time event sequences represent discrete events occurring in c...
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08/03/2017
Detection of Abnormal Input-Output Associations
We study a novel outlier detection problem that aims to identify abnorma...
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12/21/2016
Detecting Unusual Input-Output Associations in Multivariate Conditional Data
Despite tremendous progress in outlier detection research in recent year...
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11/06/2015
Active Perceptual Similarity Modeling with Auxiliary Information
Learning a model of perceptual similarity from a collection of objects i...
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05/15/2015
MCODE: Multivariate Conditional Outlier Detection
Outlier detection aims to identify unusual data instances that deviate f...
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01/14/2014
Binary Classifier Calibration: Non-parametric approach
Accurate calibration of probabilistic predictive models learned is criti...
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01/13/2014
Binary Classifier Calibration: Bayesian Non-Parametric Approach
A set of probabilistic predictions is well calibrated if the events that...
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11/27/2013
Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series
Linear Dynamical System (LDS) is an elegant mathematical framework for m...
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09/26/2013
The Bregman Variational Dual-Tree Framework
Graph-based methods provide a powerful tool set for many non-parametric ...
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01/30/2013
Hierarchical Solution of Markov Decision Processes using Macro-actions
We investigate the use of temporally abstract actions, or macro-actions,...
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01/10/2013
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of sto...
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10/19/2012
Monte-Carlo optimizations for resource allocation problems in stochastic network systems
Real-world distributed systems and networks are often unreliable and sub...
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10/16/2012
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation
In recent years, non-parametric methods utilizing random walks on graphs...
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07/11/2012
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally...
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06/13/2012