10 citations · 12 across the 3 of their papers we have counts for
5 papers
RISAN: Robust Instance Specific Abstention Network
Bhavya Kalra, Kulin Shah, Naresh Manwani
In this paper, we propose deep architectures for learning instance specific abstain (reject option) binary classifiers. The proposed approach uses double sigmoid loss function as d…
Rawlsian Fair Adaptation of Deep Learning Classifiers
Kulin Shah, Pooja Gupta, Amit Deshpande +1
Group-fairness in classification aims for equality of a predictive utility across different sensitive sub-populations, e.g., race or gender. Equality or near-equality constraints i…
Online Active Learning of Reject Option Classifiers
Kulin Shah, Naresh Manwani
Active learning is an important technique to reduce the number of labeled examples in supervised learning. Active learning for binary classification has been well addressed in mach…
PLUME: Polyhedral Learning Using Mixture of Experts
Kulin Shah, P. S. Sastry, Naresh Manwani
In this paper, we propose a novel mixture of expert architecture for learning polyhedral classifiers. We learn the parameters of the classifierusing an expectation maximization alg…
Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
In this paper, we propose an approach for learning sparse reject option classifiers using double ramp loss . We use DC programming to find the risk minimizer. The algorithm…