Geoff Pleiss
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Theoretical Limitations of Ensembles in the Age of Overparameterization. | Niclas Dern, John Patrick Cunningham, Geoff Pleiss |
| 2024 | AISTATS | Large-Scale Gaussian Processes via Alternating Projection. | Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner |
| 2024 | ICML | A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? | Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta, Pascal Poupart, Aln Aspuru-Guzik, Geoff Pleiss |
| 2024 | ICML | Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning. | Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss |
| 2022 | ICML | Preconditioning for Scalable Gaussian Process Hyperparameter Optimization. | Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner |
| 2022 | ICML | Variational nearest neighbor Gaussian process. | Luhuan Wu, Geoff Pleiss, John P. Cunningham |
| 2021 | AISTATS | Hierarchical Inducing Point Gaussian Process for Inter-domian Observations. | Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David M. Blei, John P. Cunningham |
| 2021 | ICML | Bias-Free Scalable Gaussian Processes via Randomized Truncations. | Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham |
| 2020 | ICLR | Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. | Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2020 | ICML | Parametric Gaussian Process Regressors. | Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner |
| 2020 | UAI | Deep Sigma Point Processes. | Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner |
| 2018 | AISTATS | Product Kernel Interpolation for Scalable Gaussian Processes. | Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson |
| 2018 | ICML | Constant-Time Predictive Distributions for Gaussian Processes. | Geoff Pleiss, Jacob R. Gardner, Kilian Q. Weinberger, Andrew Gordon Wilson |
| 2017 | CVPR | Deep Feature Interpolation for Image Content Changes. | Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger |
| 2017 | ICLR | Snapshot Ensembles: Train 1, Get M for Free. | Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger |
| 2017 | ICML | On Calibration of Modern Neural Networks. | Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger |