Dhamma Kimpara

According to our database, Dhamma Kimpara authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Controllable Probabilistic Forecasting with Stochastic Decomposition Layers.

John S. Schreck, William E. Chapman, Charlie Becker, David John Gagne II, Dhamma Kimpara, Nihanth W. Cherukuru, Judith Berner, Kirsten J. Mayer, Negin Sobhani

CoRR, December, 2025

Consistency Conditions for Differentiable Surrogate Losses.

Drona Khurana, Anish Thilagar, Dhamma Kimpara, Rafael M. Frongillo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Trading off Consistency and Dimensionality of Convex Surrogates for the Mode.

Enrique B. Nueve, Bo Waggoner, Dhamma Kimpara, Jessie Finocchiaro

CoRR, 2024

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification.

Enrique B. Nueve, Dhamma Kimpara, Bo Waggoner, Jessica Finocchiaro

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Belen Saavedra, Justin Willson, Christopher D. Wirz

CoRR, 2023

Proper Losses for Discrete Generative Models.

Dhamma Kimpara, Rafael M. Frongillo, Bo Waggoner

Proceedings of the International Conference on Machine Learning, 2023

2019

On the Compatibility of Privacy and Fairness.

Rachel Cummings, Varun Gupta, Dhamma Kimpara, Jamie Morgenstern

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019