Emily Fox
14 papers · 2012–2025 · 5 venues · across top CS/AI venues
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Achievements
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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Half ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (29)
๐
Keyword Champion
(2)
๐ฅ
Mega-Team ยท Squad
๐๏ธ
Keyword Collector
(81)
๐
Century Club ยท Bronze
๐
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Core Methods
(6)
Deep Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Learning Types
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Research
(2)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
bayesian nonparametric model
(2)
type 1 diabetes
(2)
time series
(2)
determinantal point process
(2)
bayesian inference
(2)
neural network
(2)
bayesian nonparametrics
(1)
sequence modeling
(1)
stochastic gradient
(1)
parameter estimation
(1)
uncertainty quantification
(1)
interpretability
(1)
wavelet transform
(1)
covariance estimation
(1)
bayesian matrix factorization
(1)
representation learning
(1)
document clustering
(1)
markov chain monte carlo
(1)
hierarchical model
(1)
kernel learning
(1)
Papers
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
UAI 2025
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
ICML 2025
Automated Statistical Model Discovery with Language Models
ICML 2024
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
ICML 2024
Sequence Modeling with Multiresolution Convolutional Memory
ICML 2023
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
MLHC 2021
Learning Insulin-Glucose Dynamics in the Wild
MLHC 2020
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
AISTATS 2015
Learning the Parameters of Determinantal Point Process Kernels
ICML 2014
Stochastic Gradient Hamiltonian Monte Carlo
ICML 2014
Nystrรถm Approximation for Large-Scale Determinantal Processes
AISTATS 2013
Parsing epileptic events using a Markov switching process model for correlated time series
ICML 2013
Hierarchical Latent Dictionaries for Models of Brain Activation
AISTATS 2012