Fair Pipelines. - Amanda Bower; Sarah N. Kitchen; Laura Niss; Martin J. Strauss; Alexander Vargas; Suresh Venkatasubramanian (CoRR, 2017)

Debiasing representations by removing unwanted variation due to protected attributes. - Amanda Bower; Laura Niss; Yuekai Sun; Alexander Vargo (CoRR, 2018)

What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. - Laura Niss; Ambuj Tewari (UAI, 2020)

Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms. - Laura Niss; Yuekai Sun; Ambuj Tewari (CoRR, 2022)

Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP. - Laura Niss; Kevin Vogt-Lowell; Theodoros Tsiligkaridis (CoRR, 2024)

Zero-Shot Embeddings Inform Learning and Forgetting with Vision-Language Encoders. - Laura Niss; Kevin Vogt-Lowell; Theodoros Tsiligkaridis (CoRR, 2024)