Emily B. Fox

87 papers A* 12A 7C 1Journal 51Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning.
CoRR
Dongxia Wu, Shiye Su, Yuhui Zhang, Elaine Sui, Emma Lundberg, Emily B. Fox, Serena Yeung-Levy
2026 J jnl
How Well Do Multimodal Models Reason on ECG Signals?
CoRR
Maxwell A. Xu, Harish Haresamudram, Catherine W. Liu, Patrick Langer, Jathurshan Pradeepkumar, Wanting Mao, Sunita J. Ferns, Aradhana Verma, Jimeng Sun, Paul Schmiedmayer, Xin Liu, Daniel McDuff, Emily B. Fox, James M. Rehg
2026 J jnl
Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging.
CoRR
Dongxia Wu, Yuhui Zhang, Serena Yeung-Levy, Emma Lundberg, Emily B. Fox
2025 A conf
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery.
UAI
Sana Tonekaboni, Tina Behrouzi, Addison Weatherhead, Emily B. Fox, David M. Blei, Anna Goldenberg
2025 J jnl
Optimal Empirical Risk Minimization under Temporal Distribution Shifts.
CoRR
Yujin Jeong, Ramesh Johari, Dominik Rothenhäusler, Emily B. Fox
2025 J jnl
Test-time regression: a unifying framework for designing sequence models with associative memory.
CoRR
Ke Alexander Wang, Jiaxin Shi, Emily B. Fox
2024 A* conf
Automated Statistical Model Discovery with Language Models.
ICML
Michael Y. Li, Emily B. Fox, Noah D. Goodman
2024 J jnl
Automated Statistical Model Discovery with Language Models.
CoRR
Michael Y. Li, Emily B. Fox, Noah D. Goodman
2024 J jnl
CriticAL: Critic Automation with Language Models.
CoRR
Michael Y. Li, Vivek Vajipey, Noah D. Goodman, Emily B. Fox
2024 J jnl
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR
Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake
2024 J jnl
Hybrid Square Neural ODE Causal Modeling.
CoRR
Bob Junyi Zou, Matthew E. Levine, Dessi P. Zaharieva, Ramesh Johari, Emily B. Fox
2024 A* conf
Hybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response.
ICML
Bob Junyi Zou, Matthew E. Levine, Dessi P. Zaharieva, Ramesh Johari, Emily B. Fox
2024 — conf
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach.
ML4H@NeurIPS
Johannes O. Ferstad, Emily B. Fox, David Scheinker, Ramesh Johari
2024 J jnl
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach.
CoRR
Johannes O. Ferstad, Emily B. Fox, David Scheinker, Ramesh Johari
2023 — conf
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild.
ML4H@NeurIPS
Ke Alexander Wang, Emily B. Fox
2023 J jnl
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild.
CoRR
Ke Alexander Wang, Emily B. Fox
2023 J jnl
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates.
CoRR
Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox
2023 A* conf
Sequence Modeling with Multiresolution Convolutional Memory.
ICML
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
2023 J jnl
Sequence Modeling with Multiresolution Convolutional Memory.
CoRR
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
2022 J jnl
Neural Granger Causality.
IEEE Trans. Pattern Anal. Mach. Intell.
Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox
2021 J jnl
Breiman's two cultures: You don't have to choose sides.
CoRR
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
2021 J jnl
Granger Causality: A Review and Recent Advances.
CoRR
Ali Shojaie, Emily B. Fox
2021 J jnl
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program).
J. Mach. Learn. Res.
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2021 J jnl
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US.
npj Digit. Medicine
Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
2021 — conf
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance.
MLHC
Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox
2021 J jnl
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance.
CoRR
Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox
2021 J jnl
The Convex Mixture Distribution: Granger Causality for Categorical Time Series.
SIAM J. Math. Data Sci.
Alex Tank, Xiudi Li, Emily B. Fox, Ali Shojaie
2020 J jnl
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program).
CoRR
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2020 — conf
Learning Insulin-Glucose Dynamics in the Wild.
MLHC
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
2020 J jnl
Learning Insulin-Glucose Dynamics in the Wild.
CoRR
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
2020 J jnl
Representing and Denoising Wearable ECG Recordings.
CoRR
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
2019 A* conf
A Simple Adaptive Tracker with Reminiscences.
ICRA
Christopher Xie, Emily B. Fox, Zaïd Harchaoui
2019 A conf
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.
UAI
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
2019 J jnl
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.
CoRR
Christopher Aicher, Nicholas J. Foti, Emily B. Fox
2019 A* ed.
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada.
NeurIPS
Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Roman Garnett
2019 J jnl
Control variates for stochastic gradient MCMC.
Stat. Comput.
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
2019 J jnl
Irreversible samplers from jump and continuous Markov processes.
Stat. Comput.
Yi-An Ma, Emily B. Fox, Tianqi Chen, Lei Wu
2019 J jnl
Modeling patterns of smartphone usage and their relationship to cognitive health.
CoRR
Jonas Rauber, Emily B. Fox, Leon A. Gatys
2019 J jnl
Stochastic Gradient MCMC for Nonlinear State Space Models.
CoRR
Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox
2019 J jnl
Stochastic Gradient MCMC for State Space Models.
SIAM J. Math. Data Sci.
Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox
2018 J jnl
Approximate Collapsed Gibbs Clustering with Expectation Propagation.
CoRR
Christopher Aicher, Emily B. Fox
2018 J jnl
Disentangled VAE Representations for Multi-Aspect and Missing Data.
CoRR
Samuel K. Ainsworth, Nicholas J. Foti, Emily B. Fox
2018 J jnl
Interpretable VAEs for nonlinear group factor analysis.
CoRR
Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox
2018 A* conf
Large-Scale Stochastic Sampling from the Probability Simplex.
NeurIPS
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
2018 J jnl
Large-Scale Stochastic Sampling from the Probability Simplex.
CoRR
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
2018 J jnl
Stochastic Gradient MCMC for State Space Models.
CoRR
Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox
2018 A* conf
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis.
ICML
Samuel K. Ainsworth, Nicholas J. Foti, Adrian K. C. Lee, Emily B. Fox
2017 J jnl
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series.
CoRR
Christopher Xie, Alex Tank, Alec Greaves-Tunnell, Emily B. Fox
2017 J jnl
Control Variates for Stochastic Gradient MCMC.
CoRR
Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth
2017 A* conf
Stochastic Gradient MCMC Methods for Hidden Markov Models.
ICML
Yi-An Ma, Nicholas J. Foti, Emily B. Fox
2015 — conf
A Complete Recipe for Stochastic Gradient MCMC.
NIPS
Yi-An Ma, Tianqi Chen, Emily B. Fox
2015 A conf
Bayesian Structure Learning for Stationary Time Series.
UAI
Alex Tank, Nicholas J. Foti, Emily B. Fox
2015 J jnl
Bayesian nonparametric covariance regression.
J. Mach. Learn. Res.
Emily B. Fox, David B. Dunson
2015 J jnl
Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics.
IEEE Trans. Pattern Anal. Mach. Intell.
Ryan P. Adams, Emily B. Fox, Erik B. Sudderth, Yee Whye Teh
2015 A conf
Streaming Variational Inference for Bayesian Nonparametric Mixture Models.
AISTATS
Alex Tank, Nicholas J. Foti, Emily B. Fox
2014 J jnl
Bayesian nonparametric models of sparse and exchangeable random graphs.
CoRR
Francois Caron, Emily B. Fox
2014 — conf
Expectation-Maximization for Learning Determinantal Point Processes.
NIPS
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Benjamin Taskar
2014 J jnl
Expectation-Maximization for Learning Determinantal Point Processes.
CoRR
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar
2014 A* conf
Learning the Parameters of Determinantal Point Process Kernels.
ICML
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Benjamin Taskar
2014 J jnl
Learning the Parameters of Determinantal Point Process Kernels.
CoRR
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Ben Taskar
2014 — ch.
Mixed Membership Models for Time Series.
Handbook of Mixed Membership Models and Their Applications
Emily B. Fox, Michael I. Jordan
2014 J jnl
Modeling the complex dynamics and changing correlations of epileptic events.
Artif. Intell.
Drausin F. Wulsin, Emily B. Fox, Brian Litt
2014 A* conf
Stochastic Gradient Hamiltonian Monte Carlo.
ICML
Tianqi Chen, Emily B. Fox, Carlos Guestrin
2014 J jnl
Stochastic Gradient Hamiltonian Monte Carlo.
CoRR
Tianqi Chen, Emily B. Fox, Carlos Guestrin
2014 — conf
Stochastic variational inference for hidden Markov models.
NIPS
Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox
2013 J jnl
A Bayesian Approach for Predicting the Popularity of Tweets
CoRR
Tauhid Zaman, Emily B. Fox, Eric T. Bradlow
2013 J jnl
Approximate Inference in Continuous Determinantal Point Processes.
CoRR
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
2013 — conf
Approximate Inference in Continuous Determinantal Processes.
NIPS
Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
2013 J jnl
Mixed Membership Models for Time Series.
CoRR
Emily B. Fox, Michael I. Jordan
2013 A conf
Nystrom Approximation for Large-Scale Determinantal Processes.
AISTATS
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox, Ben Taskar
2013 — conf
Parsing epileptic events using a Markov switching process model for correlated time series.
ICML (1)
Drausin Wulsin, Emily B. Fox, Brian Litt
2013 A* conf
Representing documents through their readers.
KDD
Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin
2012 J jnl
Concept Modeling with Superwords
CoRR
Khalid El-Arini, Emily B. Fox, Carlos Guestrin
2012 — conf
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data.
NIPS
Michael C. Hughes, Emily B. Fox, Erik B. Sudderth
2012 A conf
Hierarchical Latent Dictionaries for Models of Brain Activation.
AISTATS
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell
2012 J jnl
Markov Determinantal Point Processes
CoRR
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox
2012 A conf
Markov Determinantal Point Processes.
UAI
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox
2012 — conf
Multiresolution Gaussian Processes.
NIPS
Emily B. Fox, David B. Dunson
2011 J jnl
Bayesian Nonparametric Inference of Switching Dynamic Linear Models.
IEEE Trans. Signal Process.
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2010 J jnl
Bayesian Nonparametric Methods for Learning Markov Switching Processes.
IEEE Signal Process. Mag.
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2009 — —
Bayesian nonparametric learning of complex dynamical phenomena.
Emily B. Fox
2009 — conf
Sharing Features among Dynamical Systems with Beta Processes.
NIPS
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2008 A* conf
An HDP-HMM for systems with state persistence.
ICML
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2008 — conf
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
NIPS
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2007 J jnl
Detection and Localization of Material Releases With Sparse Sensor Configurations.
IEEE Trans. Signal Process.
Emily B. Fox, John W. Fisher III, Alan S. Willsky
2007 C conf
Hierarchical Dirichlet processes for tracking maneuvering targets.
FUSION
Emily B. Fox, Erik B. Sudderth, Alan S. Willsky
2006 — conf
Detection and Localization of Material Releases with Sparse Sensor Configurations.
ICASSP (4)
Emily B. Fox, Jason L. Williams, John W. Fisher III, Alan S. Willsky