3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee, Hannah H. Chang
We propose a novel framework for incorporating qualitative data into quantitative models for causal estimation. Previous methods use categorical variables derived from qualitative…
cs.LG2023
Machine Learning and Consumer Data
Hannah H. Chang, Anirban Mukherjee
The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale. Emerging phenomen…
cs.AI2023★ 3 cited
The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff
Anirban Mukherjee, Hannah Chang
In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) sy…