Serena Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Shape Constraints

Top Venues

Publications

Kaushik P. Venkatesh, Marium M. Raza, Grace Nickel, Serena Wang, Joseph C. Kvedar
Deep learning models across the range of skin disease. npj Digit. Medicine 7 (1) (2024)
Lydia T. Liu, Serena Wang, Tolani Britton, Rediet Abebe
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education. CoRR (2022)
Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
Robust Distillation for Worst-class Performance. CoRR (2022)
Serena Wang, Cori Faklaris, Junchao Lin, Laura Dabbish, Jason I. Hong
'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Wenshuo Guo, Serena Wang, Peng Ding, Yixin Wang, Michael I. Jordan
Multi-Source Causal Inference Using Control Variates. CoRR (2021)
Serena Wang, Maya R. Gupta, Seungil You
Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Ghassen Jerfel, Serena Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR (2021)
Ghassen Jerfel, Serena Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI (2021)
Taman Narayan, Serena Wang, Kevin Robert Canini, Maya R. Gupta
Regularization Strategies for Quantile Regression. CoRR (2021)
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Wang
Pairwise Fairness for Ranking and Regression. AAAI (2020)
Serena Wang, Maya R. Gupta
Deontological Ethics By Monotonicity Shape Constraints. AISTATS (2020)
Serena Wang, Maya R. Gupta
Deontological Ethics By Monotonicity Shape Constraints. CoRR (2020)
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
Robust Optimization for Fairness with Noisy Protected Groups. CoRR (2020)
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS (2020)
Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR (2020)
Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS (2020)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Wang, Tao Zhu
Shape Constraints for Set Functions. ICML (2019)
Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Wang
Pairwise Fairness for Ranking and Regression. CoRR (2019)
Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Wang, Taman Narayan, Seungil You, Karthik Sridharan
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. J. Mach. Learn. Res. 20 (2019)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Wang, Blake E. Woodworth, Seungil You
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. ICML (2019)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Wang, Blake E. Woodworth, Seungil You
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. CoRR (2018)
Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Wang
Proxy Fairness. CoRR (2018)
Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Wang, Tao Zhu
Interpretable Set Functions. CoRR (2018)
Andrew Cotter, Heinrich Jiang, Serena Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. CoRR (2018)
Serena Wang, Maya R. Gupta, Seungil You
Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization. CoRR (2018)