Rolf, Esther

14 publications

CVPRW 2025 Classification Drives Geographic Bias in Street Scene Segmentation Rahul Nair, Bhanu Tokas, Gabriel Tseng, Esther Rolf, Hannah Kerner

AAAI 2025 SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm

ICLR 2024 Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

ICML 2024 Position: Mission Critical – Satellite Data Is a Distinct Modality in Machine Learning Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

IJCAI 2023 Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy Emily L. Aiken, Esther Rolf, Joshua Blumenstock

NeurIPSW 2023 Towards Global, General-Purpose Pretrained Geographic Location Encoders Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm

UAI 2022 Resolving Label Uncertainty with Implicit Posterior Models Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic

NeurIPSW 2022 Striving for Data-Model Efficiency: Identifying Data Externalities on Group Performance Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz

ICML 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data Esther Rolf, Theodora T Worledge, Benjamin Recht, Michael Jordan

ICML 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock

AISTATS 2020 Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf, Michael I. Jordan, Benjamin Recht

IJCAI 2019 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

ICML 2018 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt