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06/02/2023
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems
With the overwhelming amount of data available both on and offline today...
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04/05/2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
With growing machine learning (ML) applications in healthcare, there hav...
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02/08/2023
Participatory Systems for Personalized Prediction
Machine learning models are often personalized based on information that...
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05/11/2022
Evaluation Gaps in Machine Learning Practice
Forming a reliable judgement of a machine learning (ML) model's appropri...
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04/08/2022
Disability prediction in multiple sclerosis using performance outcome measures and demographic data
Literature on machine learning for multiple sclerosis has primarily focu...
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02/26/2022
Healthsheet: Development of a Transparency Artifact for Health Datasets
Machine learning (ML) approaches have demonstrated promising results in ...
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02/02/2022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
Fairness and robustness are often considered as orthogonal dimensions wh...
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01/16/2021
Deep Cox Mixtures for Survival Regression
Survival analysis is a challenging variation of regression modeling beca...
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11/06/2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
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05/14/2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Bayesian neural networks (BNNs) demonstrate promising success in improvi...
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11/13/2019
Federated and Differentially Private Learning for Electronic Health Records
The use of collaborative and decentralized machine learning techniques s...
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06/10/2019
Analyzing the Role of Model Uncertainty for Electronic Health Records
In medicine, both ethical and monetary costs of incorrect predictions ca...
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12/14/2018
Online gradient-based mixtures for transfer modulation in meta-learning
Learning-to-learn or meta-learning leverages data-driven inductive bias ...
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07/24/2018
Hierarchical infinite factor model for improving the prediction of surgical complications for geriatric patients
We develop a hierarchical infinite latent factor model (HIFM) to appropr...
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06/18/2018
SMOGS: Social Network Metrics of Game Success
This paper develops metrics from a social network perspective that are d...
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12/01/2017
InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the ...
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08/19/2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Sepsis is a poorly understood and potentially life-threatening complicat...
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06/13/2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
We present a scalable end-to-end classifier that uses streaming physiolo...
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08/16/2016
Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression
Prediction of the future trajectory of a disease is an important challen...
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11/13/2015
k-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
For regular particle filter algorithm or Sequential Monte Carlo (SMC) me...
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09/09/2015
Fast Second-Order Stochastic Backpropagation for Variational Inference
We propose a second-order (Hessian or Hessian-free) based optimization m...
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11/11/2014
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
We present the Bayesian Echo Chamber, a new Bayesian generative model fo...
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06/06/2011
