K. Heller

发表

A Nonparametric Bayesian Approach to Modeling Overlapping Clusters

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2007, AISTATS.

Do no harm: a roadmap for responsible machine learning for health care

David C. Kale, S. Saria, A. Goldenberg, 2019, Nature Medicine.

Statistical models for partial membership

Katherine A. Heller, Zoubin Ghahramani, Sinead Williamson, 2008, ICML '08.

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling

Chong Wang, Katherine A. Heller, David M. Blei, 2010, ICML.

Fast Second Order Stochastic Backpropagation for Variational Inference

James T. Kwok, Katherine A. Heller, Kai Fan, 2015, NIPS.

Focused Topic Models

D. Blei, K. Heller, Chong Wang, 2009 .

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

Katherine A. Heller, Joseph Futoma, Sanjay Hariharan, 2017, ICML.

Testing a Bayesian Measure of Representativeness Using a Large Image Database

Thomas L. Griffiths, Joshua T. Abbott, Katherine A. Heller, 2011, NIPS.

Incremental Nonparametric Bayesian Regression

O. Jenkins, K. Heller, D. Grollman, 2008 .

Randomized algorithms for fast Bayesian hierarchical clustering

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2005 .

Sequence information for the splicing of human pre-mRNA identified by support vector machine classification.

K. Heller, C. Leslie, L. Chasin, 2003, Genome research.

Bayesian hierarchical clustering

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2005, ICML.

Discovering Nonbinary Hierarchical Structures with Bayesian Rose Trees

Yee Whye Teh, Katherine A. Heller, Charles Blundell, 2011 .

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2005, NIPS.

Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011, ICML.

Using Machine Learning to Discover Latent Social Phenotypes in Free-Ranging Macaques

K. Heller, M. Platt, Seth Madlon-Kay, 2017, Brain sciences.

Bayesian Models for Heterogeneous Personalized Health Data

K. Heller, Kai Fan, A. Aiello, 2015, 1509.00110.

Identified by Support Vector Machine Classification Sequence Information for the Splicing of Human Pre-mRNA data

K. Heller, C. Leslie, L. Chasin, 2003 .

Transfer Learning via Latent Factor Modeling to Improve Prediction of Surgical Complications

Elizabeth C. Lorenzi, Ricardo Henao, K. Heller, 2016, 1612.00555.

Nonparametric Mixed Membership Modelling Using the IBP Compound Dirichlet Process

D. Blei, K. Heller, Chong Wang, 2011 .

Partial Membership and Factor Analysis

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2014, Handbook of Mixed Membership Models and Their Applications.

Efficient Bayesian hierarchical clustering for gene expression data

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2006 .

Bayesian and L$_\mathbf{1}$ Approaches to Sparse Unsupervised Learning

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011 .

A Bayesian approach to information retrieval from sets of items

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2006 .

Modelling Reciprocating Relationships with Hawkes Processes

Katherine A. Heller, Charles Blundell, Jeffrey M. Beck, 2012, NIPS.

Supplementary Material for “ The Bayesian Echo Chamber ”

Hanna M. Wallach, C. Blundell, K. Heller, 2015 .

Deep Cox Mixtures for Survival Regression pdf

Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, 2021, MLHC.

Modulating transfer between tasks in gradient-based meta-learning

Thomas L. Griffiths, Ghassen Jerfel, Katherine A. Heller, 2018 .

Deep Cox Mixtures for Survival Regression

Negar Rostamzadeh, K. Heller, S. Yadlowsky, 2021, MLHC.

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation

Hanna M. Wallach, C. Blundell, K. Heller, 2014, AISTATS.

The role of analogies in biological data : a study in the exploratory analysis of protein-protein interactions

K. Heller, Ricardo Silva, 2006 .

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

Michael W. Dusenberry, Jasper Snoek, Yeming Wen, 2020, ICML.

Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis

Katherine A. Heller, Kai Fan, Ricardo Henao, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Ranking Relations using Analogies in Biological and Information Networks

Edoardo M. Airoldi, Katherine A. Heller, Zoubin Ghahramani, 2009, The annals of applied statistics.

Katherine A. Heller, Cynthia Rudin, Benjamin Letham, 2013, Data Mining and Knowledge Discovery.

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Michael Gao, Sahil Sandhu, Elizabeth Alderton, 2019, JMIR medical informatics.

Machine learning for early detection of sepsis: an internal and temporal validation study

Michael Gao, Joseph Futoma, Marshall Nichols, 2020, JAMIA open.

Efficient Bayesian methods for clustering.

Katherine A. Heller, K. Heller, 2008 .

InverseNet: Solving Inverse Problems with Splitting Networks pdf

Katherine A. Heller, Kai Fan, Qi Wei, 2017, ArXiv.

An inner-loop free solution to inverse problems using deep neural networks

Katherine A. Heller, Lawrence Carin, Kai Fan, 2017, NIPS.

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study

Elizabeth C. Lorenzi, Katherine Heller, Mark Sendak, 2018, PLoS medicine.

R/BHC: fast Bayesian hierarchical clustering for microarray data

Yang Xu, Katherine A. Heller, Zoubin Ghahramani, 2009, BMC Bioinformatics.

Underspecification Presents Challenges for Credibility in Modern Machine Learning pdf

Alexander D'Amour, Andrea Montanari, Xiaohua Zhai, 2020, J. Mach. Learn. Res..

Participatory Systems for Personalized Prediction

K. Heller, Berk Ustun, Chirag Nagpal, 2023, ArXiv.

Massive computational acceleration by using neural networks to emulate mechanism-based biological models

Katherine A. Heller, Kai Fan, Nan Luo, 2019, Nature Communications.

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning

Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva, 2011, Bioinform..

Tree-Based Inference for Dirichlet Process Mixtures

Yang Xu, Katherine A. Heller, Zoubin Ghahramani, 2009, AISTATS.

The Bayesian Echo Chamber: Modeling Influence in Conversations pdf

Katherine A. Heller, Hanna M. Wallach, Charles Blundell, 2014, ArXiv.

A Shared Vision for Machine Learning in Neuroscience

Guillermo Sapiro, Cynthia Rudin, Kafui Dzirasa, 2018, The Journal of Neuroscience.

Parallelizing MCMC with Random Partition Trees

Xiangyu Wang, David B. Dunson, Katherine A. Heller, 2015, NIPS.

Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients

Ricardo Henao, Elizabeth C. Lorenzi, Elizabeth Lorenzi, 2018, The Annals of Applied Statistics.

A comparative evaluation of two algorithms for Windows Registry Anomaly Detection

Salvatore J. Stolfo, Katherine A. Heller, Eleazar Eskin, 2005, J. Comput. Secur..

One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

Salvatore J. Stolfo, Angelos D. Keromytis, Katherine A. Heller, 2003 .

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

Katherine A. Heller, Joseph Futoma, Nathan Brajer, 2017, MLHC.

Evaluating sepsis definitions for clinical decision support against a definition for epidemiological disease surveillance

K. Heller, M. Sendak, Cara O'Brien, 2019, bioRxiv.

Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence

Michael I. Jordan, Ghassen Jerfel, Katherine A. Heller, 2021, UAI.

Reconciling meta-learning and continual learning with online mixtures of tasks

Thomas L. Griffiths, Ghassen Jerfel, Erin Grant, 2018, NeurIPS.

Online gradient-based mixtures for transfer modulation in meta-learning pdf

Thomas L. Griffiths, Ghassen Jerfel, Katherine A. Heller, 2018, ArXiv.

Hierarchical Learning of Dimensional Biases in Human Categorization

Nick Chater, Katherine A. Heller, Adam Sanborn, 2009, NIPS.

Bayesian Exponential Family PCA

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2008, NIPS.

An Alternative Prior Process for Nonparametric Bayesian Clustering

Katherine A. Heller, Hanna M. Wallach, Shane T. Jensen, 2008, AISTATS.

Bayesian Rose Trees

Yee Whye Teh, Katherine A. Heller, Charles Blundell, 2010, UAI.

Analyzing the role of model uncertainty for electronic health records

Jeremy Nixon, Ghassen Jerfel, Dustin Tran, 2019, CHIL.

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Ibrahim M. Alabdulmohsin, Yuan Liu, Vivek Natarajan, 2022, NeurIPS.

Bayesian and L1 Approaches to Sparse Unsupervised Learning pdf

Katherine A. Heller, Zoubin Ghahramani, Shakir Mohamed, 2011, ICML 2012.

Federated and Differentially Private Learning for Electronic Health Records pdf

Andrew M. Dai, Katherine Heller, Stephen R. Pfohl, 2019, ArXiv.

Infinite Hierarchical Hidden Markov Models

Yee Whye Teh, Dilan Görür, Katherine A. Heller, 2009, AISTATS.

Graph-Coupled HMMs for Modeling the Spread of Infection

Alex Pentland, Katherine A. Heller, Wen Dong, 2012, UAI.

Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data

Katherine A. Heller, Joseph Futoma, Mark Sendak, 2016, MLHC.

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models

Alexandre Pouget, Katherine A. Heller, Jeffrey M. Beck, 2012, NIPS.

Author Correction: Do no harm: a roadmap for responsible machine learning for health care

David C. Kale, S. Saria, A. Goldenberg, 2019, Nature Medicine.

Analogical Reasoning with Relational Bayesian Sets

Katherine A. Heller, Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2007, AISTATS.

A Simple Bayesian Framework for Content-Based Image Retrieval

Katherine A. Heller, Zoubin Ghahramani, Zoubin Ghahramani, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Small sets of interacting proteins suggest latent linkage mechanisms through analogical reasoning

Ricardo Silva, A Airoldi, Katherine A. Heller, 2007 .

STUDY: Socially Aware Temporally Causal Decoder Recommender Systems

K. Heller, Subhrajit Roy, Diana Mincu, 2023, 2306.07946.

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Kristin M Corey, M. C. Elish, K. Heller, 2020, JMIR Medical Informatics.

Do no harm: a roadmap for responsible machine learning for health care

David C. Kale, Dave C. Kale, S. Saria, 2019, Nature Medicine.

$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking

K. Heller, Kai Fan, 2015, 1511.04157.

Participatory Personalization in Classification

K. Heller, Berk Ustun, Chirag Nagpal, 2023, NeurIPS.

A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection

Katherine A. Heller, Kai Fan, Chunyuan Li, 2016, AAAI.

Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data

Katherine A. Heller, Kai Fan, Marisa C. Eisenberg, 2015, KDD.

Incremental Nonparametric Bayesian Regression

O. C. Jenkins, K. Heller, D. Grollman, 2008 .

SMOGS: Social Network Metrics of Game Success

Fan Bu, Alexander Volfovsky, Katherine Heller, 2018, AISTATS.