5 papers
Noisy Batch Active Learning with Deterministic Annealing
Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin
We study the problem of training machine learning models incrementally with batches of samples annotated with noisy oracles. We select each batch of samples that are important and…
Learning Latent Fractional dynamics with Unknown Unknowns
Gaurav Gupta, Sergio Pequito, Paul Bogdan
Despite significant effort in understanding complex systems (CS), we lack a theory for modeling, inference, analysis and efficient control of time-varying complex networks (TVCNs)…
Data-driven Perception of Neuron Point Process with Unknown Unknowns
Ruochen Yang, Gaurav Gupta, Paul Bogdan
Identification of patterns from discrete data time-series for statistical inference, threat detection, social opinion dynamics, brain activity prediction has received recent moment…
Approximate Submodular Functions and Performance Guarantees
Gaurav Gupta, Sergio Pequito, Paul Bogdan
We consider the problem of maximizing non-negative non-decreasing set functions. Although most of the recent work focus on exploiting submodularity, it turns out that several objec…
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
Gaurav Gupta, Sergio Pequito, Paul Bogdan
This paper focuses on analysis and design of time-varying complex networks having fractional order dynamics. These systems are key in modeling the complex dynamical processes arisi…