- Online Post-Processing In Rankings For Fair Utility Maximization. The 14th ACM International Conference On Web Search And Data Mining (WSDM’21) Ananya Gupta, Eric Johnson, Justin Payan, Aditya Roy, Ari Kobren, Swetasudha Panda, Michael Wick, Jean-Baptiste Tristan.
- Fair Online Post-Processing for Black-Box ML Screening Systems.NeurIPS’20 Women in Machine Learning Workshop. Swetasudha Panda, Ari Kobren, Michael Wick, Jean-Baptiste Tristan.
- Unlocking Fairness: A Trade-off Revisited. NeurIPS’19 [[PDF<\span>]](https://papers.nips.cc/paper/9082-unlocking-fairness-a-trade-off-revisited.pdf)
Michael L. Wick, Swetasudha Panda,Jean-Baptiste Tristan.
- Using Bayes Factors To Control For Fairness: Case Study On Learning To Rank. NeurIPS’19
Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy.
Swetasudha Panda, Jean-Baptiste Tristan, Michael Wick, Haniyeh Mahmoudian and Pallika Kanani.
- Scaling Hierarchical Coreference With Homomorphic Compression.AKBC’19
Michael L. Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan.
- Game theoretic antibody design. AAMAS’19
Workshop on AI for Social Good.
Swetasudha Panda, Alexander M. Sevy, James E. Crowe Jr, Jens Meiler and Yevgeniy Vorobeychik.
- Scalable initial state interdiction for factored MDPs. NeurIPS’18
Women in Machine Learning Workshop.
Swetasudha Panda.
- Scalable initial state interdiction for factored MDPs.IJCAI’18
Swetasudha Panda and Yevgeniy Vorobeychik.
- Integrating machine learning with structural modeling to increase HIV neutralization breadth. PLOS CompBio’18
Swetasudha Panda, Alexander M. Sevy, James E. Crowe, Jr, Jens Meiler, Yevgeniy Vorobeychik.
- Near-optimal interdiction of factored MDPs. UAI’17
Swetasudha Panda and Yevgeniy Vorobeychik.
- Stackelberg games for vaccine design. AAMAS’15
Swetasudha Panda and Yevgeniy Vorobeychik.
- Stackelberg games for antibody design. AAAI’15
Spring Symposium on Applied Computational Game Theory.
Swetasudha Panda and Yevgeniy Vorobeychik.
- Designing vaccines that are robust to virus escape.AAAI’15
Swetasudha Panda and Yevgeniy Vorobeychik.
- Robust optic nerve segmentation on clinically acquired CT. SPIE’14
Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway,
Bennett A. Landman.
- Evaluation of multi-atlas label fusion for MRI orbital segmentation. JMI’14
Swetasudha Panda, Andrew J. Asman, Shweta P. Khare, Lindsey Thompson, Louise A. Mawn, Seth
A. Smith, Bennett A. Landman.
- Robust optic nerve segmentation on clinically acquired CT. JMI’14
Swetasudha Panda, Robert A. Harrigan, Andrew J. Asman, Michael P. DeLisi, Benjamin C. W.
Yvernault, Robert L. Galloway, Louise A. Mawn, Bennett A. Landman.
- Regression forest region recognition enhances multi-atlas spleen labeling. MICCAI’13
Challenge Workshop on Segmentation: Algorithms, Theory and Applications.
Bo Li, Swetasudha Panda, Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson,
Bennett A. Landman.