Serena Lutong Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

'It's Problematic but I'm not Concerned': University Perspectives on Account Sharing.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2022

Lost in Translation: Reimagining the Machine Learning Life Cycle in Education.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Distillation for Worst-class Performance.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Quit When You Can: Efficient Evaluation of Ensembles by Optimized Ordering.

[BibT_eX]

[DOI]

Seungil You

ACM J. Emerg. Technol. Comput. Syst., 2021

Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Source Causal Inference Using Control Variates.

[BibT_eX]

[DOI]

CoRR, 2021

Regularization Strategies for Quantile Regression.

[BibT_eX]

[DOI]

CoRR, 2021

Variational refinement for importance sampling using the forward Kullback-Leibler divergence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Optimization for Fairness with Noisy Protected Groups.

[BibT_eX]

[DOI]

Wenshuo Guo

Andrew Cotter

Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Heavily-Constrained Learning with Lagrange Multiplier Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deontological Ethics By Monotonicity Shape Constraints.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Pairwise Fairness for Ranking and Regression.

[BibT_eX]

[DOI]

Andrew Cotter

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Shape Constraints for Set Functions.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Proxy Fairness.

[BibT_eX]

[DOI]

CoRR, 2018

Quit When You Can: Efficient Evaluation of Ensembles with Ordering Optimization.

[BibT_eX]

[DOI]