On the Compatibility of Privacy and Fairness. - Rachel Cummings; Varun Gupta 006; Dhamma Kimpara; Jamie Morgenstern (UMAP (Adjunct Publication), 2019)

Proper Losses for Discrete Generative Models. - Dhamma Kimpara; Rafael M. Frongillo; Bo Waggoner (ICML, 2023)

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. - John S. Schreck; David John Gagne II; Charlie Becker; William E. Chapman; Kim Elmore; Gabrielle Gantos; Eliot Kim; Dhamma Kimpara; Thomas Martin; Maria J. Molina; Vanessa M. Pryzbylo; Jacob Radford; et al. (CoRR, 2023)

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification. - Enrique B. Nueve; Dhamma Kimpara; Bo Waggoner; Jessica Finocchiaro (NeurIPS, 2024)

Trading off Consistency and Dimensionality of Convex Surrogates for the Mode. - Enrique B. Nueve; Bo Waggoner; Dhamma Kimpara; Jessie Finocchiaro (CoRR, 2024)

Community Research Earth Digital Intelligence Twin (CREDIT). - John S. Schreck; Yingkai Sha; William E. Chapman; Dhamma Kimpara; Judith Berner; Seth McGinnis; Arnold Kazadi; Negin Sobhani; Ben Kirk; David John Gagne II (CoRR, 2024)

Consistency Conditions for Differentiable Surrogate Losses. - Drona Khurana; Anish Thilagar; Dhamma Kimpara; Rafael M. Frongillo (CoRR, 2025)