Andrew Miller
Andrew Miller
Postdoctoral Research Scientist, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Semi-amortized variational autoencoders
Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush
arXiv preprint arXiv:1802.02550, 2018
1002018
Factorized point process intensities: A spatial analysis of professional basketball
A Miller, L Bornn, R Adams, K Goldsberry
International conference on machine learning, 235-243, 2014
952014
Advances in nowcasting influenza-like illness rates using search query logs
V Lampos, AC Miller, S Crossan, C Stefansen
Scientific reports 5 (1), 1-10, 2015
852015
Characterizing the spatial structure of defensive skill in professional basketball
A Franks, A Miller, L Bornn, K Goldsberry
The Annals of Applied Statistics 9 (1), 94-121, 2015
692015
Variational boosting: Iteratively refining posterior approximations
AC Miller, NJ Foti, RP Adams
International Conference on Machine Learning, 2420-2429, 2017
622017
Bayesian learning and inference in recurrent switching linear dynamical systems
S Linderman, M Johnson, A Miller, R Adams, D Blei, L Paninski
Artificial Intelligence and Statistics, 914-922, 2017
612017
Counterpoints: Advanced defensive metrics for nba basketball
A Franks, A Miller, L Bornn, K Goldsberry
9th Annual MIT Sloan Sports Analytics Conference, Boston, MA, 2015
562015
Reducing reparameterization gradient variance
A Miller, N Foti, A D'Amour, RP Adams
Advances in Neural Information Processing Systems, 3708-3718, 2017
332017
Real-time rendering and dynamic updating of 3-d volumetric data
A Miller, V Jain, JL Mundy
Proceedings of the Fourth Workshop on General Purpose Processing on Graphics …, 2011
322011
Possession sketches: Mapping nba strategies
AC Miller, L Bornn
Proceedings of the 2017 MIT Sloan Sports Analytics Conference, 2017
262017
Celeste: Variational inference for a generative model of astronomical images
J Regier, A Miller, J McAuliffe, R Adams, M Hoffman, D Lang, D Schlegel, ...
International Conference on Machine Learning, 2095-2103, 2015
242015
Recurrent switching linear dynamical systems
SW Linderman, AC Miller, RP Adams, DM Blei, L Paninski, MJ Johnson
arXiv preprint arXiv:1610.08466, 2016
222016
Probabilistic models of larval zebrafish behavior reveal structure on many scales
RE Johnson, S Linderman, T Panier, CL Wee, E Song, KJ Herrera, ...
Current Biology 30 (1), 70-82. e4, 2020
82020
Probabilistic models of larval zebrafish behavior: structure on many scales
RE Johnson, S Linderman, T Panier, CL Wee, E Song, KJ Herrera, ...
bioRxiv, 672246, 2019
52019
Studying basketball through the lens of player tracking data
L Bornn, D Cervone, A Franks, A Miller
Handbook of statistical methods and analyses in sports, 261-286, 2017
32017
A Gaussian process model of quasar spectral energy distributions
A Miller, A Wu, J Regier, J McAuliffe, D Lang, M Prabhat, D Schlegel, ...
Advances in Neural Information Processing Systems, 2494-2502, 2015
32015
Approximate inference for constructing astronomical catalogs from images
J Regier, AC Miller, D Schlegel, RP Adams, JD McAuliffe
The Annals of Applied Statistics 13 (3), 1884-1926, 2019
22019
Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission
AC Miller, NJ Foti, JA Lewnard, NP Jewell, C Guestrin, EB Fox
medRxiv, 2020
12020
A comparison of patient history-and ekg-based cardiac risk scores
AC Miller, Z Obermeyer, S Mullainathan
AMIA Summits on Translational Science Proceedings 2019, 82, 2019
12019
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
A Miller, Z Obermeyer, J Cunningham, S Mullainathan
International Conference on Machine Learning, 4585-4594, 2019
2019
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