Sanghamitra Dutta
@sanghamd.bsky.social
Assistant Professor at UMD College Park| Past: JPMorgan, CMU, IBM Research, Dataminr, IIT KGP
| Trustworthy ML, Interpretability, Fairness, Information Theory, Optimization, Stat ML
| Trustworthy ML, Interpretability, Fairness, Information Theory, Optimization, Stat ML
We propose Redundant Information Distillation which maximizes the task-relevant common information between teacher and student using a new alternating optimization: #explainability #informationtheory #distillation #modelcompression
May 2, 2025 at 10:45 PM
We propose Redundant Information Distillation which maximizes the task-relevant common information between teacher and student using a new alternating optimization: #explainability #informationtheory #distillation #modelcompression
Pasan's research focuses on reconstructing simpler, interpretable, and efficient models from larger complex models by specifically integrating explainability (recent publications at #NeurIPS2024 #AISTATS2025 #AAMAS2025)
February 19, 2025 at 1:01 AM
Pasan's research focuses on reconstructing simpler, interpretable, and efficient models from larger complex models by specifically integrating explainability (recent publications at #NeurIPS2024 #AISTATS2025 #AAMAS2025)