Enhancing Wi-Fi Signal Strength of a Dynamic Heterogeneous System Using a Mobile Robot Provider. - Esther Rolf; Matt Whitlock; Byung-Cheol Min; Eric T. Matson (RiTA, 2013)

Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis. - Ian Bolliger; Tamma Carleton; Solomon Hsiang; Jonathan Kadish; Jonathan Proctor; Benjamin Recht; Esther Rolf; Vaishaal Shankar (CoRR, 2017)

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

A Successive-Elimination Approach to Adaptive Robotic Sensing. - Esther Rolf; David Fridovich-Keil; Max Simchowitz; Benjamin Recht; Claire J. Tomlin (CoRR, 2018)

Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. - Esther Rolf; Michael I. Jordan; Benjamin Recht (AISTATS, 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 Björkegren; Moritz Hardt; Joshua Blumenstock (ICML, 2020)

A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. - Esther Rolf; Jonathan Proctor; Tamma Carleton; Ian Bolliger; Vaishaal Shankar; Miyabi Ishihara; Benjamin Recht; Solomon Hsiang (CoRR, 2020)

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

A Successive-Elimination Approach to Adaptive Robotic Source Seeking. - Esther Rolf; David Fridovich-Keil; Max Simchowitz; Benjamin Recht; Claire J. Tomlin (IEEE Trans. Robotics, 2021)

Resolving label uncertainty with implicit posterior models. - Esther Rolf; Nikolay Malkin; Alexandros Graikos; Ana Jojic; Caleb Robinson; Nebojsa Jojic (UAI, 2022)

Striving for data-model efficiency: Identifying data externalities on group performance. - Esther Rolf; Ben Packer; Alex Beutel; Fernando Diaz 001 (CoRR, 2022)

Can Strategic Data Collection Improve the Performance of Poverty Prediction Models? - Satej Soman; Emily L. Aiken; Esther Rolf; Joshua Blumenstock (CoRR, 2022)

Incorporating Intent, Impact, and Context for Beneficial Machine Learning - Esther Rolf (2022)

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 (IJCAI, 2023)

Evaluation Challenges for Geospatial ML. - Esther Rolf (CoRR, 2023)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Y. Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa S. Chapman; Anthony Corso 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. - Lucia Gordon; Esther Rolf; Milind Tambe (ECAI, 2024)

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

Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. - Esther Rolf; Konstantin Klemmer; Caleb Robinson; Hannah Kerner (ICML, 2024)

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

Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. - Esther Rolf; Konstantin Klemmer; Caleb Robinson; Hannah Kerner (CoRR, 2024)

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas. - Esther Rolf; Lucia Gordon; Milind Tambe; Andrew Davies (CoRR, 2024)

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

Classification Drives Geographic Bias in Street Scene Segmentation. - Rahul Nair; Bhanu Tokas; Gabriel Tseng; Esther Rolf; Hannah Kerner (CVPR Workshops, 2025)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models? - Mirali Purohit; Gedeon Muhawenayo; Esther Rolf; Hannah Kerner (CoRR, 2025)

Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery. - Arjun Rao; Esther Rolf (CoRR, 2025)