Veldanda, Akshaj Kumar

4 publications

TMLR 2024 Hyper-Parameter Tuning for Fair Classification Without Sensitive Attribute Access Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

TMLR 2023 Fairness via In-Processing in the Over-Parameterized Regime: A Cautionary Tale with MinDiff Loss Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

NeurIPSW 2023 Investigating Hiring Bias in Large Language Models Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg

NeurIPS 2020 CryptoNAS: Private Inference on a ReLU Budget Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg