Browsing by Author Adams, Ryan P
Showing results 1 to 12 of 12
Publication Date | Article Title | Author(s) |
1-Sep-2019 | Approximate inference for constructing astronomical catalogs from images | Regier, Jeffrey; Miller, Andrew C; Schlegel, David; Adams, Ryan P; McAuliffe, Jon D; et al |
2018 | Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules | Gómez-Bombarelli, Rafael; Wei, Jennifer N; Duvenaud, David; Hernández-Lobato, José Miguel; Sánchez-Lengeling, Benjamín; et al |
Dec-2016 | Bayesian latent structure discovery from multi-neuron recordings | Linderman, Scott W; Adams, Ryan P; Pillow, Jonathan |
2018 | A Bayesian Nonparametric View on Count-Min Sketch | Cai, Diana; Mitzenmacher, Michael; Adams, Ryan P |
2020 | A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation | Xue, Tianju; Beatson, Alex; Chiaramonte, Maurizio; Roeder, Geoffrey; Ash, Jordan T; et al |
Sep-2018 | Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk | Reshef, Yakir A; Finucane, Hilary K; Kelley, David R; Gusev, Alexander; Kotliar, Dylan; et al |
2019 | Discrete Object Generation with Reversible Inductive Construction | Seff, Ari; Zhou, Wenda; Damani, Farhan; Doyle, Abigail; Adams, Ryan P |
2019 | Efficient optimization of loops and limits with randomized telescoping sums | Beatson, Alex; Adams, Ryan P |
2019 | Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach | Zhou, Wenda; Veitch, Victor; Austern, Morgane; Adams, Ryan P; Orbanz, Peter |
2017 | PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference | Huggins, Jonathan; Adams, Ryan P; Broderick, Tamara |
2019 | Rapid Prediction of Electron-Ionization Mass Spectrometry Using Neural Networks | Wei, JN; Belanger, D; Adams, Ryan P; Sculley, D |
2017 | Reducing reparameterization gradient variance | Miller, AC; Foti, NJ; D Amour, A; Adams, Ryan P |