Esther Rolf
12 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (7)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
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Century Club
(11)
π₯
Unstoppable
(8)
Conferences
ICML (5)
AAAI (2)
IJCAI (2)
AISTATS (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
satellite imagery
(3)
fairness criterion
(2)
static classification
(2)
temporal modeling
(2)
training datum
(2)
side information
(1)
vision-language model
(1)
weakly supervised learning
(1)
fairness metric
(1)
spatial datum
(1)
domain adaptation
(1)
noisy label
(1)
multi-objective optimization
(1)
demographic parity
(1)
fair machine learning
(1)
distribution shift
(1)
pareto frontier
(1)
population dynamics
(1)
transfer learning
(1)
algorithmic fairness
(1)
Papers
Mapping on a Budget: Optimizing Spatial Data Collection for ML
AAAI 2026
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
AAAI 2025
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
ICLR 2024
Position: Mission Critical β Satellite Data is a Distinct Modality in Machine Learning
ICML 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Fairness and Representation in Satellite-Based Poverty Maps: Evidence of Urban-Rural Disparities and Their Impacts on Downstream Policy
IJCAI 2023
Resolving label uncertainty with implicit posterior models
UAI 2022
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
ICML 2021
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
ICML 2020
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
AISTATS 2020
Delayed Impact of Fair Machine Learning
IJCAI 2019
Delayed Impact of Fair Machine Learning
ICML 2018