Interpretable Set Functions. - Andrew Cotter; Maya R. Gupta; Heinrich Jiang; James Muller; Taman Narayan; Serena Lutong Wang; Tao Zhu 005 (CoRR, 2018)

Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization. - Serena Lutong Wang; Maya R. Gupta; Seungil You (CoRR, 2018)

Proxy Fairness. - Maya R. Gupta; Andrew Cotter; Mahdi Milani Fard; Serena Lutong Wang (CoRR, 2018)

Shape Constraints for Set Functions. - Andrew Cotter; Maya R. Gupta; Heinrich Jiang; Erez Louidor; James Muller; Taman Narayan; Serena Lutong Wang; Tao Zhu 005 (ICML, 2019)

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. - Andrew Cotter; Maya R. Gupta; Heinrich Jiang; Nathan Srebro; Karthik Sridharan; Serena Lutong Wang; Blake E. Woodworth; Seungil You (ICML, 2019)

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. - Andrew Cotter; Heinrich Jiang; Maya R. Gupta; Serena Lutong Wang; Taman Narayan; Seungil You; Karthik Sridharan (J. Mach. Learn. Res., 2019)

Pairwise Fairness for Ranking and Regression. - Harikrishna Narasimhan; Andrew Cotter; Maya R. Gupta; Serena Lutong Wang (AAAI, 2020)

Deontological Ethics By Monotonicity Shape Constraints. - Serena Lutong Wang; Maya R. Gupta (AISTATS, 2020)

Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. - Harikrishna Narasimhan; Andrew Cotter; Yichen Zhou; Serena Lutong Wang; Wenshuo Guo (NeurIPS, 2020)

Robust Optimization for Fairness with Noisy Protected Groups. - Serena Lutong Wang; Wenshuo Guo; Harikrishna Narasimhan; Andrew Cotter; Maya R. Gupta; Michael I. Jordan (NeurIPS, 2020)

Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. - Wenshuo Guo; Mihaela Curmei; Serena Lutong Wang; Benjamin Recht; Michael I. Jordan (CoRR, 2020)

Variational refinement for importance sampling using the forward Kullback-Leibler divergence. - Ghassen Jerfel; Serena Lutong Wang; Clara Wong-Fannjiang; Katherine A. Heller; Yian Ma; Michael I. Jordan (UAI, 2021)

Regularization Strategies for Quantile Regression. - Taman Narayan; Serena Lutong Wang; Kevin Robert Canini; Maya R. Gupta (CoRR, 2021)

Multi-Source Causal Inference Using Control Variates. - Wenshuo Guo; Serena Lutong Wang; Peng Ding; Yixin Wang 002; Michael I. Jordan (CoRR, 2021)

Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering. - Serena Lutong Wang; Maya R. Gupta; Seungil You (ACM J. Emerg. Technol. Comput. Syst., 2021)

Robust Distillation for Worst-class Performance. - Serena Lutong Wang; Harikrishna Narasimhan; Yichen Zhou; Sara Hooker; Michal Lukasik; Aditya Krishna Menon (CoRR, 2022)

Lost in Translation: Reimagining the Machine Learning Life Cycle in Education. - Lydia T. Liu; Serena Lutong Wang; Tolani Britton; Rediet Abebe (CoRR, 2022)

'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing. - Serena Wang 001; Cori Faklaris; Junchao Lin; Laura Dabbish; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2022)

Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias. - Wenshuo Guo; Serena Lutong Wang; Peng Ding; Yixin Wang 002; Michael I. Jordan (Trans. Mach. Learn. Res., 2022)

Robust distillation for worst-class performance: on the interplay between teacher and student objectives. - Serena Wang 001; Harikrishna Narasimhan; Yichen Zhou; Sara Hooker; Michal Lukasik; Aditya Krishna Menon (UAI, 2023)

Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry. - Serena Wang 001; Stephen Bates; P. M. Aronow; Michael I. Jordan (CoRR, 2023)

On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. - Serena Wang 001; Stephen Bates; P. M. Aronow; Michael I. Jordan (AISTATS, 2024)

Score Design for Multi-Criteria Incentivization. - Anmol Kabra; Mina Karzand; Tosca Lechner; Nati Srebro; Serena Wang 001 (FORC, 2024)

Information Elicitation in Agency Games. - Serena Wang 001; Michael I. Jordan; Katrina Ligett; R. Preston McAfee (CoRR, 2024)

Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation. - Taman Narayan; Serena Lutong Wang; Kevin Robert Canini; Maya R. Gupta (Trans. Mach. Learn. Res., 2024)

Differential Privacy on Trust Graphs. - Badih Ghazi; Ravi Kumar 001; Pasin Manurangsi; Serena Wang 001 (ITCS, 2025)

Relying on the Metrics of Evaluated Agents. - Serena Wang 001; Michael I. Jordan; Katrina Ligett; R. Preston McAfee (WWW, 2025)