Alex Oesterling

16 papers A* 3A 1B 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inference-Time Reward Hacking in Large Language Models.
CoRR
Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio du Pin Calmon
2025 J jnl
Multi-Group Proportional Representation for Text-to-Image Models.
CoRR
Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025 A* conf
Multi-Group Proportional Representations for Text-to-Image Models.
CVPR
Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flávio P. Calmon
2025 B conf
Soft Best-of-$n$ Sampling for Model Alignment.
ISIT
Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025 J jnl
Soft Best-of-n Sampling for Model Alignment.
CoRR
Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flávio P. Calmon
2025 J jnl
Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability.
CoRR
Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, Flávio P. Calmon
2024 J jnl
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models.
CoRR
Charumathi Badrinath, Usha Bhalla, Alex Oesterling, Suraj Srinivas, Himabindu Lakkaraju
2024 A conf
Fair Machine Unlearning: Data Removal while Mitigating Disparities.
AISTATS
Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju
2024 A* conf
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).
NeurIPS
Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024 J jnl
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE).
CoRR
Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
2024 A* conf
Multi-Group Proportional Representation in Retrieval.
NeurIPS
Alex Oesterling, Claudio Mayrink Verdun, Alexander Glynn, Carol Xuan Long, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024 J jnl
Multi-Group Proportional Representation.
CoRR
Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
2024 J jnl
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers.
CoRR
Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju
2023 J jnl
Fair Machine Unlearning: Data Removal while Mitigating Disparities.
CoRR
Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju
2021 J jnl
Distributionally Robust Group Backwards Compatibility.
CoRR
Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro
2021 J jnl
Multitask Learning for Citation Purpose Classification.
CoRR
Alex Oesterling, Angikar Ghosal, Haoyang Yu, Rui Xin, Yasa Baig, Lesia Semenova, Cynthia Rudin