3 citations · 5 across the 3 of their papers we have counts for
3 papers
Transfer Learning with Kernel Methods
Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad +1
Transfer learning refers to the process of adapting a model trained on a source task to a target task. While kernel methods are conceptually and computationally simple machine lear…
The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables
Raj Agrawal, Chandler Squires, Neha Prasad +1
Many real-world decision-making tasks require learning causal relationships between a set of variables. Traditional causal discovery methods, however, require that all variables ar…
Optimal Transport using GANs for Lineage Tracing
Neha Prasad, Karren Yang, Caroline Uhler
In this paper, we present Super-OT, a novel approach to computational lineage tracing that combines a supervised learning framework with optimal transport based on Generative Adver…