337 citations · 369 across the 21 of their papers we have counts for
4 papers · 1 filter
Neural Dependency Coding inspired Multimodal Fusion
Shiv Shankar
Information integration from different modalities is an active area of research. Human beings and, in general, biological neural systems are quite adept at using a multitude of sig…
Adversarial Stein Training for Graph Energy Models
Shiv Shankar
Learning distributions over graph-structured data is a challenging task with many applications in biology and chemistry. In this work we use an energy-based model (EBM) based on mu…
Sibling Regression for Generalized Linear Models
Shiv Shankar, Daniel Sheldon
Field observations form the basis of many scientific studies, especially in ecological and social sciences. Despite efforts to conduct such surveys in a standardized way, observati…
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
Yash Chandak, Shiv Shankar, Philip S. Thomas
Many sequential decision-making systems leverage data collected using prior policies to propose a new policy. For critical applications, it is important that high-confidence guaran…