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ORCIDSerena Lutong Wang
Person information
- affiliation: Google Research, USA
- affiliation (PhD 2024): University of California, Berkeley, CA, USA
Other persons with the same name
- Serena C. Y. Wang
![[0000-0002-5532-071X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5532-071X")
(aka: Serena Wang 0002) — Harvard Medical School, Boston, MA, USA
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2020 – today
- 2025
[c11]Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Serena Wang:
Differential Privacy on Trust Graphs. ITCS 2025: 53:1-53:23- 2024
- [j5]Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta:
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Serena Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan:
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. AISTATS 2024: 1522-1530 - [c9]Anmol Kabra, Mina Karzand, Tosca Lechner, Nati Srebro, Serena Wang:
Score Design for Multi-Criteria Incentivization. FORC 2024: 8:1-8:22 - [i18]Serena Wang, Michael I. Jordan, Katrina Ligett, R. Preston McAfee:
Information Elicitation in Agency Games. CoRR abs/2402.14005 (2024) - [i17]Anmol Kabra, Mina Karzand, Tosca Lechner, Nathan Srebro, Serena Wang:
Score Design for Multi-Criteria Incentivization. CoRR abs/2410.06290 (2024) - [i16]Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Serena Wang:
Differential Privacy on Trust Graphs. CoRR abs/2410.12045 (2024) - 2023
- [c8]Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon:
Robust distillation for worst-class performance: on the interplay between teacher and student objectives. UAI 2023: 2237-2247 - [i15]Serena Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan:
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry. CoRR abs/2305.14595 (2023) - 2022
- [j4]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): 68:1-68:27 (2022) - [j3]Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan:
Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias. Trans. Mach. Learn. Res. 2022 (2022) - [i14]Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon:
Robust Distillation for Worst-class Performance. CoRR abs/2206.06479 (2022) - [i13]Lydia T. Liu, Serena Lutong Wang, Tolani Britton, Rediet Abebe:
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education. CoRR abs/2209.03929 (2022) - 2021
- [j2]Serena Lutong 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): 55:1-55:20 (2021) - [c7]Ghassen Jerfel, Serena Lutong 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: 1819-1829 - [i12]Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta:
Regularization Strategies for Quantile Regression. CoRR abs/2102.05135 (2021) - [i11]Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan:
Multi-Source Causal Inference Using Control Variates. CoRR abs/2103.16689 (2021) - [i10]Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan:
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR abs/2106.15980 (2021) - 2020
- [c6]Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang:
Pairwise Fairness for Ranking and Regression. AAAI 2020: 5248-5255 - [c5]Serena Lutong Wang, Maya R. Gupta:
Deontological Ethics By Monotonicity Shape Constraints. AISTATS 2020: 2043-2054 - [c4]Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo:
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS 2020 - [c3]Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan:
Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS 2020 - [i9]Serena Lutong Wang, Maya R. Gupta:
Deontological Ethics By Monotonicity Shape Constraints. CoRR abs/2001.11990 (2020) - [i8]Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan:
Robust Optimization for Fairness with Noisy Protected Groups. CoRR abs/2002.09343 (2020) - [i7]Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan:
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR abs/2007.05647 (2020)
2010 – 2019
- 2019
- [j1]Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Lutong 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: 172:1-172:59 (2019) - [c2]Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Erez Louidor, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu:
Shape Constraints for Set Functions. ICML 2019: 1388-1396 - [c1]Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You:
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. ICML 2019: 1397-1405 - [i6]Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Serena Lutong Wang:
Pairwise Fairness for Ranking and Regression. CoRR abs/1906.05330 (2019) - 2018
- [i5]Andrew Cotter, Maya R. Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Lutong Wang, Tao Zhu:
Interpretable Set Functions. CoRR abs/1806.00050 (2018) - [i4]Serena Lutong Wang, Maya R. Gupta, Seungil You:
Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization. CoRR abs/1806.11202 (2018) - [i3]Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang:
Proxy Fairness. CoRR abs/1806.11212 (2018) - [i2]Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You:
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. CoRR abs/1807.00028 (2018) - [i1]Andrew Cotter, Heinrich Jiang, Serena Lutong 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 abs/1809.04198 (2018)
Coauthor Index
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