Brian Hsu

According to our database, Brian Hsu authored at least 8 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems.

Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai, Hongseok Namkoong

CoRR, 2024

GPT-4o System Card.

Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, Aleksander Madry, Alex Baker-Whitcomb, Alex Beutel, Alex Borzunov, Alex Carney, Alex Chow, Alex Kirillov, Alex Nichol, Alex Paino, Alex Renzin, Alex Tachard Passos, Alexander Kirillov, Alexi Christakis, Alexis Conneau, Ali Kamali, Allan Jabri, Allison Moyer, Allison Tam, Amadou Crookes, Amin Tootoonchian, Ananya Kumar, Andrea Vallone, Andrej Karpathy, Andrew Braunstein, Andrew Cann, Andrew Codispoti, Andrew Galu, Andrew Kondrich, Andrew Tulloch, Andrey Mishchenko, Angela Baek, Angela Jiang, Antoine Pelisse, Antonia Woodford, Anuj Gosalia, Arka Dhar, Ashley Pantuliano, Avi Nayak, Avital Oliver, Barret Zoph, Behrooz Ghorbani, Ben Leimberger, Ben Rossen, Ben Sokolowsky, Ben Wang, Benjamin Zweig, Beth Hoover, Blake Samic, Bob McGrew, Bobby Spero, Bogo Giertler, Bowen Cheng, Brad Lightcap, Brandon Walkin, Brendan Quinn, Brian Guarraci, Brian Hsu, Bright Kellogg, Brydon Eastman, Camillo Lugaresi, Carroll L. Wainwright, Cary Bassin, Cary Hudson, Casey Chu, Chad Nelson, Chak Li, Chan Jun Shern, Channing Conger, Charlotte Barette, Chelsea Voss, Chen Ding, Cheng Lu, Chong Zhang, Chris Beaumont, Chris Hallacy, Chris Koch, Christian Gibson, Christina Kim, Christine Choi, Christine McLeavey, Christopher Hesse, Claudia Fischer, Clemens Winter, Coley Czarnecki, Colin Jarvis, Colin Wei, Constantin Koumouzelis, Dane Sherburn

CoRR, 2024

2023

An Operational Perspective to Fairness Interventions: Where and How to Intervene.

Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu

CoRR, 2023

Detection and Mitigation of Algorithmic Bias via Predictive Parity.

Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Disentangling and Operationalizing AI Fairness at LinkedIn.

Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Pushing the limits of fairness impossibility: Who's the fairest of them all?

Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Implementing a More Challenging Parsons Problem Interface for Teaching Computer Science.

Nathaniel Weinman, Brian Hsu, Alexia Camacho

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

2013

A tactile vision substitution system for the study of active sensing.

Brian Hsu, Cheng-Han Hsieh, Sung-Nien Yu, Ehud Ahissar, Amos Arieli, Yael Zilbershtain-Kra

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013