Serena Lutong Wang

25 papers A* 5A 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation. Trans. Mach. Learn. Res. Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2022	J	`jnl`	Lost in Translation: Reimagining the Machine Learning Life Cycle in Education. CoRR Lydia T. Liu, Serena Lutong Wang, Tolani Britton, Rediet Abebe
2022	J	`jnl`	Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias. Trans. Mach. Learn. Res. Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan
2022	J	`jnl`	Robust Distillation for Worst-class Performance. CoRR Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
2021	J	`jnl`	Multi-Source Causal Inference Using Control Variates. CoRR Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan
2021	J	`jnl`	Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering. ACM J. Emerg. Technol. Comput. Syst. Serena Lutong Wang, Maya R. Gupta, Seungil You
2021	J	`jnl`	Regularization Strategies for Quantile Regression. CoRR Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta
2021	J	`jnl`	Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan
2021	A	`conf`	Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
2020	A*	`conf`	Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo
2020	A	`conf`	Deontological Ethics By Monotonicity Shape Constraints. AISTATS Serena Lutong Wang, Maya R. Gupta
2020	J	`jnl`	Deontological Ethics By Monotonicity Shape Constraints. CoRR Serena Lutong Wang, Maya R. Gupta
2020	J	`jnl`	Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan
2020	A*	`conf`	Pairwise Fairness for Ranking and Regression. AAAI Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2020	A*	`conf`	Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2020	J	`jnl`	Robust Optimization for Fairness with Noisy Protected Groups. CoRR Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
2019	J	`jnl`	Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. J. Mach. Learn. Res. Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Lutong Wang, Taman Narayan, Seungil You, Karthik Sridharan
2019	J	`jnl`	Pairwise Fairness for Ranking and Regression. CoRR Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang
2019	A*	`conf`	Shape Constraints for Set Functions. ICML Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2019	A*	`conf`	Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. ICML Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You
2018	J	`jnl`	Interpretable Set Functions. CoRR Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu
2018	J	`jnl`	Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. CoRR Andrew Cotter, Heinrich Jiang, Serena Lutong Wang, Taman Narayan, Maya R. Gupta, Seungil You, Karthik Sridharan
2018	J	`jnl`	Proxy Fairness. CoRR Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang
2018	J	`jnl`	Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization. CoRR Serena Lutong Wang, Maya R. Gupta, Seungil You
2018	J	`jnl`	Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. CoRR Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You