no code implementations • 2 Nov 2023 • Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
The key idea is the design of switching policies that can take conformal quantiles as input, which we define as conformal policy learning, that allows robots to detect distribution shifts with formal statistical guarantees.
no code implementations • 24 Oct 2023 • Cassandra Tong Ye, Jiashu Han, Kunzan Liu, Anastasios Angelopoulos, Linda Griffith, Kristina Monakhova, Sixian You
Finally, with our adaptive acquisition technique, we demonstrate a 120X reduction in acquisition time and total light dose while successfully recovering fine features in the sample.
1 code implementation • 25 Jan 2022 • Mariel Werner, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan
The blessing of ubiquitous data also comes with a curse: the communication, storage, and labeling of massive, mostly redundant datasets.
3 code implementations • 7 Jan 2021 • Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
While improving prediction accuracy has been the focus of machine learning in recent years, this alone does not suffice for reliable decision-making.
5 code implementations • ICLR 2021 • Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael. I. Jordan
Convolutional image classifiers can achieve high predictive accuracy, but quantifying their uncertainty remains an unresolved challenge, hindering their deployment in consequential settings.