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Browsing by Author Adams, Ryan P

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