Andrew C. Miller

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Dynamical Systems

Variational Inference

Predictive Model

Environmental Factors

Top Venues

Publications

Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
Large-scale Training of Foundation Models for Wearable Biosignals. ICLR (2024)
Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
Simulation-based Inference for Cardiovascular Models. CoRR (2023)
Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller
Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digit. Medicine 6 (2023)
Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
Large-scale Training of Foundation Models for Wearable Biosignals. CoRR (2023)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CLeaR (2022)
Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance. MLHC (2021)
Sean Jewell, Joseph Futoma, Lauren Hannah, Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US. npj Digit. Medicine 4 (2021)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CoRR (2021)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Breiman's two cultures: You don't have to choose sides. CoRR (2021)
Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance. CoRR (2021)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Learning Insulin-Glucose Dynamics in the Wild. CoRR (2020)
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
Representing and Denoising Wearable ECG Recordings. CoRR (2020)
Andrew C. Miller, Nicholas J. Foti, Emily B. Fox
Learning Insulin-Glucose Dynamics in the Wild. MLHC (2020)
Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. ICML (2019)
Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush
Semi-Amortized Variational Autoencoders. ICML (2018)
Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush
Semi-Amortized Variational Autoencoders. CoRR (2018)
Jeffrey Regier, Andrew C. Miller, David Schlegel, Ryan P. Adams, Jon D. McAuliffe, Prabhat
Approximate Inference for Constructing Astronomical Catalogs from Images. CoRR (2018)
Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan
A Probabilistic Model of Cardiac Physiology and Electrocardiograms. CoRR (2018)
Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan
Measuring the Stability of EHR- and EKG-based Predictive Models. CoRR (2018)
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Boosting: Iteratively Refining Posterior Approximations. ICML (2017)
Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems. AISTATS (2017)
Andrew C. Miller, Nick Foti, Alexander D'Amour, Ryan P. Adams
Reducing Reparameterization Gradient Variance. NIPS (2017)
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Boosting: Iteratively Refining Posterior Approximations. CoRR (2016)
Andrew C. Miller, Albert Wu, Jeffrey Regier, Jon McAuliffe, Dustin Lang, Prabhat, David Schlegel, Ryan P. Adams
A Gaussian Process Model of Quasar Spectral Energy Distributions. NIPS (2015)
Jeffrey Regier, Andrew C. Miller, Jon McAuliffe, Ryan P. Adams, Matthew D. Hoffman, Dustin Lang, David Schlegel, Prabhat
Celeste: Variational inference for a generative model of astronomical images. ICML (2015)
Andrew C. Miller, Luke Bornn, Ryan P. Adams, Kirk Goldsberry
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball. ICML (2014)