Joydeep Ghosh

Information Projection and Approximate Inference for Structured Sparse Variables

2017 · International Conference on Artificial Intelligence and Statistics

Approximate inference via information projection has been recently introduced as a general-purpose approach for efficient probabilistic inference given sparse variables. This manuscript goes beyond classical sparsity by proposing efficient algorithms for approximate inference via information …

Scaling Data Association for Hypothesis-Oriented MHT

2019 · arXiv (Cornell University)

Multi-hypothesis tracking is a flexible and intuitive approach to tracking multiple nearby objects. However, the original formulation of its data association step is widely thought to scale poorly with the number of tracked objects. We …

Architecture Agnostic Federated Learning for Neural Networks

2022 · arXiv (Cornell University)

With growing concerns regarding data privacy and rapid increase in data volume, Federated Learning(FL) has become an important learning paradigm. However, jointly learning a deep neural network model in a FL setting proves to be …