Jamie Smith

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Bregman Divergences

Diffusion Model

Learning Frameworks

Bias Variance Analysis

Top Venues

Trans. Mach. Learn. Res.

J. Comput. Biol.

Publications

Chris D. Godsil, Jamie Smith
Strongly cospectral vertices. Australas. J Comb. 88 (2024)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV (2023)
Neha Gupta, Jamie Smith, Ben Adlam, Zelda E. Mariet
Ensembles of Classifiers: a Bias-Variance Perspective. Trans. Mach. Learn. Res. 2022 (2022)
Ben Adlam, Neha Gupta, Zelda Mariet, Jamie Smith
Understanding the bias-variance tradeoff of Bregman divergences. CoRR (2022)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure. Trans. Mach. Learn. Res. 2022 (2022)
Neha Gupta, Jamie Smith, Ben Adlam, Zelda Mariet
Ensembling over Classifiers: a Bias-Variance Perspective. CoRR (2022)
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic
Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems. CoRR (2021)
Brandon Carter, Maxwell L. Bileschi, Jamie Smith, Theo Sanderson, Drew Bryant, David Belanger, Lucy J. Colwell
Critiquing Protein Family Classification Models Using Sufficient Input Subsets. J. Comput. Biol. 27 (8) (2020)
Amy Williams, Christy B. Turer, Jamie Smith, Isabelle Nievera, Laura McCulloch, Nuha Wareg, Megan Clary, Anuradha Rajagopalan, Ross C. Brownson, Richelle J. Koopman, Sarah Hampl
Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers. Appl. Clin. Inform. 11 (02) (2020)
Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. CoRR (2017)
Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD (2017)
Jamie Smith
On the Limitations of Graph Invariants Inspired by Quantum Walks. Electron. Notes Discret. Math. 38 (2011)