
Deep Cox Mixtures for Survival Regression
Survival analysis is a challenging variation of regression modeling beca...
read it

Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
read it

Efficient and Scalable Bayesian Neural Nets with Rank1 Factors
Bayesian neural networks (BNNs) demonstrate promising success in improvi...
read it

Federated and Differentially Private Learning for Electronic Health Records
The use of collaborative and decentralized machine learning techniques s...
read it

Analyzing the Role of Model Uncertainty for Electronic Health Records
In medicine, both ethical and monetary costs of incorrect predictions ca...
read it

Online gradientbased mixtures for transfer modulation in metalearning
Learningtolearn or metalearning leverages datadriven inductive bias ...
read it

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...
read it

SMOGS: Social Network Metrics of Game Success
This paper develops metrics from a social network perspective that are d...
read it

InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the ...
read it

An Improved MultiOutput Gaussian Process RNN with RealTime Validation for Early Sepsis Detection
Sepsis is a poorly understood and potentially lifethreatening complicat...
read it

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
We present a scalable endtoend classifier that uses streaming physiolo...
read it

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...
read it

kmeans: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
For regular particle filter algorithm or Sequential Monte Carlo (SMC) me...
read it

Fast SecondOrder Stochastic Backpropagation for Variational Inference
We propose a secondorder (Hessian or Hessianfree) based optimization m...
read it

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
We present the Bayesian Echo Chamber, a new Bayesian generative model fo...
read it

Bayesian and L1 Approaches to Sparse Unsupervised Learning
The use of L1 regularisation for sparse learning has generated immense r...
read it
Katherine Heller
is this you? claim profile