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Serena Wang
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Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals
A Cotter, H Jiang, M Gupta, S Wang, T Narayan, S You, K Sridharan
Journal of Machine Learning Research 20 (172), 1-59, 2019
1592019
Robust optimization for fairness with noisy protected groups
S Wang, W Guo, H Narasimhan, A Cotter, M Gupta, M Jordan
Advances in neural information processing systems 33, 5190-5203, 2020
1202020
Training well-generalizing classifiers for fairness metrics and other data-dependent constraints
A Cotter, M Gupta, H Jiang, N Srebro, K Sridharan, S Wang, B Woodworth, ...
International Conference on Machine Learning, 1397-1405, 2019
1152019
Pairwise fairness for ranking and regression
H Narasimhan, A Cotter, M Gupta, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5248-5255, 2020
1122020
Deontological ethics by monotonicity shape constraints
S Wang, M Gupta
International conference on artificial intelligence and statistics, 2043-2054, 2020
332020
Variational refinement for importance sampling using the forward kullback-leibler divergence
G Jerfel, S Wang, C Wong-Fannjiang, KA Heller, Y Ma, MI Jordan
Uncertainty in Artificial Intelligence, 1819-1829, 2021
322021
Shape constraints for set functions
A Cotter, M Gupta, H Jiang, E Louidor, J Muller, T Narayan, S Wang, ...
International conference on machine learning, 1388-1396, 2019
29*2019
Reimagining the machine learning life cycle to improve educational outcomes of students
LT Liu, S Wang, T Britton, R Abebe
Proceedings of the National Academy of Sciences 120 (9), e2204781120, 2023
22*2023
Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias
W Guo, SL Wang, P Ding, Y Wang, M Jordan
Transactions on Machine Learning Research, 2022
18*2022
Robust distillation for worst-class performance: on the interplay between teacher and student objectives
S Wang, H Narasimhan, Y Zhou, S Hooker, M Lukasik, AK Menon
Uncertainty in Artificial Intelligence, 2237-2247, 2023
11*2023
Approximate heavily-constrained learning with lagrange multiplier models
H Narasimhan, A Cotter, Y Zhou, S Wang, W Guo
Advances in Neural Information Processing Systems 33, 8693-8703, 2020
92020
Quit when you can: efficient evaluation of ensembles by optimized ordering
S Wang, M Gupta, S You
ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-20, 2021
6*2021
Regularization strategies for quantile regression
T Narayan, S Wang, K Canini, M Gupta
arXiv preprint arXiv:2102.05135, 2021
22021
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
S Wang, S Bates, PM Aronow, MI Jordan
arXiv preprint arXiv:2305.14595, 2023
12023
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry
S Wang, S Bates, P Aronow, M Jordan
International Conference on Artificial Intelligence and Statistics, 1522-1530, 2024
2024
Information Elicitation in Agency Games
S Wang, MI Jordan, K Ligett, RP McAfee
arXiv preprint arXiv:2402.14005, 2024
2024
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty
W Guo, M Curmei, S Wang, B Recht, MI Jordan
arXiv preprint arXiv:2007.05647, 2020
2020
Proxy Fairness.
MR Gupta, A Cotter, MM Fard, S Wang
CoRR, 2018
2018
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation
T Narayan, SL Wang, KR Canini, M Gupta
Transactions on Machine Learning Research, 0
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Articles 1–19