Publications

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Author Title Type [ Year(Asc)]
Submitted
Bracale, D. , Maity, S. , Banerjee, M. , & Sun, Y. . (Submitted). Learning the Distribution Map in Reverse Causal Performative Prediction. arXiv. doi:10.48550/arXiv.2405.15172
Bracale, D. , Maity, S. , Polo, F. Maia, Somerstep, S. , Banerjee, M. , & Sun, Y. . (Submitted). Microfoundation Inference for Strategic Prediction. arXiv. doi:10.48550/arXiv.2411.08998
2024
Ngweta, L. , Agarwal, M. , Maity, S. , Gittens, A. , Sun, Y. , & Yurochkin, M. . (2024). Aligners: Decoupling LLMs and Alignment. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 13785–13802). Association for Computational Linguistics. doi:10.18653/v1/2024.findings-emnlp.808
Maity, S. , Agarwal, M. , Yurochkin, M. , & Sun, Y. . (2024). An Investigation of Representation and Allocation Harms in Contrastive Learning. In The Twelfth International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=q4SiDyYQbo
Polo, F. Maia, Maity, S. , Yurochkin, M. , Banerjee, M. , & Sun, Y. . (2024). Weak Supervision Performance Evaluation via Partial Identification. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. Retrieved from https://openreview.net/forum?id=VOVyeOzZx0
Maity, S. , Dutta, D. , Terhorst, J. , Sun, Y. , & Banerjee, M. . (2024). A linear adjustment-based approach to posterior drift in transfer learning. Biometrika, 111, 31–50. doi:10.1093/biomet/asad029
2023
Ngweta, L. , Maity, S. , Gittens, A. , Sun, Y. , & Yurochkin, M. . (2023). Simple Disentanglement of Style and Content in Visual Representations. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26063–26086). PMLR. Retrieved from https://proceedings.mlr.press/v202/ngweta23a.html
Bakshi, S. , & Maity, S. . (2023). Bayes classifier cannot be learned from noisy responses with unknown noise rates. The Eleventh International Conference on Learning Representations, Tiny paper track. Retrieved from https://openreview.net/forum?id=U4o5iSWSaD
Maity, S. , Mukherjee, D. , Banerjee, M. , & Sun, Y. . (2023). Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. In The Eleventh International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=2SV2dlfBuE3
Maity, S. , Yurochkin, M. , Banerjee, M. , & Sun, Y. . (2023). Understanding new tasks through the lens of training data via exponential tilting. In The Eleventh International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=DBMttEEoLbw
2022
Bhattacharyya, R. , Burman, A. , Singh, K. , Banerjee, S. , Maity, S. , Auddy, A. , Rout, S. Kumar, et al. (2022). Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis. BMJ Open, 12, e056292. doi:10.1136/bmjopen-2021-056292
Maity, S. , Roy, S. , Xue, S. , Yurochkin, M. , & Sun, Y. . (2022). How does overparametrization affect performance on minority groups?. arXiv. doi:10.48550/arXiv.2206.03515
Maity, S. , Sun, Y. , & Banerjee, M. . (2022). Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions. Journal of Machine Learning Research, 23, 1–50. Retrieved from http://jmlr.org/papers/v23/21-0739.html
Maity, S. , Sun, Y. , & Banerjee, M. . (2022). Minimax optimal approaches to the label shift problem in non-parametric settings. Journal of Machine Learning Research, 23, 1–45. Retrieved from http://jmlr.org/papers/v23/21-1519.html
Kwon, B. Chul, Kartoun, U. , Khurshid, S. , Yurochkin, M. , Maity, S. , Brockman, D. G. , Khera, A. V. , et al. (2022). RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. In IEEE Visualization and Visual Analytics (VIS) (pp. 50–54). doi:10.1109/VIS54862.2022.00019
2021
Maity, S. , Mukherjee, D. , Yurochkin, M. , & Sun, Y. . (2021). Does enforcing fairness mitigate biases caused by subpopulation shift?. In Advances in Neural Information Processing Systems (Vol. 34, pp. 25773–25784). Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper/2021/hash/d800149d2f947ad4d64f34668f8b20f6-Abstract.html
Maity, S. , Xue, S. , Yurochkin, M. , & Sun, Y. . (2021). Statistical inference for individual fairness. In The Ninth International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=z9k8BWL-_2u