Oesterling, Alex

9 publications

NeurIPS 2025 Inference-Time Reward Hacking in Large Language Models Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flavio Calmon

CVPR 2025 Multi-Group Proportional Representations for Text-to-Image Models Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flavio P. Calmon

ICMLW 2024 All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju

ICMLW 2024 All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju

ICMLW 2024 All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju

AISTATS 2024 Fair Machine Unlearning: Data Removal While Mitigating Disparities Alex Oesterling, Jiaqi Ma, Flavio Calmon, Himabindu Lakkaraju

NeurIPS 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio P. Calmon, Himabindu Lakkaraju

NeurIPS 2024 Multi-Group Proportional Representation in Retrieval Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flavio P. Calmon

NeurIPSW 2021 Distributionally Robust Group Backwards Compatibility Martin Andres Bertran, Natalia Martinez, Alex Oesterling, Guillermo Sapiro