Natalie Maus

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Preference Learning

Gaussian Process

Efficient Optimization

Top Venues

Neural Networks

Publications

Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob R. Gardner
Approximation-Aware Bayesian Optimization. CoRR (2024)
Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner
Inverse Protein Folding Using Deep Bayesian Optimization. CoRR (2023)
Natalie Maus, Patrick Chao, Eric Wong, Jacob R. Gardner
Adversarial Prompting for Black Box Foundation Models. CoRR (2023)
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel
Variational Gaussian Processes with Decoupled Conditionals. NeurIPS (2023)
Natalie Maus, Zhiyuan (Jerry) Lin, Maximilian Balandat, Eytan Bakshy
Joint Composite Latent Space Bayesian Optimization. CoRR (2023)
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
Discovering Many Diverse Solutions with Bayesian Optimization. AISTATS (2023)
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
Discovering Many Diverse Solutions with Bayesian Optimization. CoRR (2022)
Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner
Local Latent Space Bayesian Optimization over Structured Inputs. CoRR (2022)
Natalie Maus, Haydn Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner
Local Latent Space Bayesian Optimization over Structured Inputs. NeurIPS (2022)
Natalie Maus, Oliver W. Layton
Estimating heading from optic flow: Comparing deep learning network and human performance. Neural Networks 154 (2022)
Natalie Maus, Dalton Rutledge, Sedeeq Al-khazraji, Reynold Bailey, Cecilia Ovesdotter Alm, Kristen Shinohara
Gaze-guided Magnification for Individuals with Vision Impairments. CHI Extended Abstracts (2020)