Narayanan Unny Edakunni

According to our database, Narayanan Unny Edakunni authored at least 14 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining Drift using Shapley Values.

Narayanan Unny Edakunni, Utkarsh Tekriwal, Anukriti Jain

CoRR, 2024

2021

Simple is better: Making Decision Trees faster using random sampling.

Vignesh Nanda Kumar, Narayanan Unny Edakunni

CoRR, 2021

Statistical Guarantees for Fairness Aware Plug-In Algorithms.

Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni

CoRR, 2021

2020

Accurate and Intuitive Contextual Explanations using Linear Model Trees.

Aditya Lahiri, Narayanan Unny Edakunni

CoRR, 2020

FairXGBoost: Fairness-aware Classification in XGBoost.

Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh, Narayanan Unny Edakunni

CoRR, 2020

2016

Cost-sensitive boosting algorithms: Do we really need them?

Nikolaos Nikolaou, Narayanan Unny Edakunni, Meelis Kull, Peter A. Flach, Gavin Brown

Mach. Learn., 2016

2015

Probabilistic Dependency Networks for Prediction and Diagnostics.

Narayanan Unny Edakunni, Aditi Raghunathan, Abhishek Tripathi, John Handley, Frédéric Roulland

CoRR, 2015

2013

Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications.

Ming-Jie Zhao, Narayanan Unny Edakunni, Adam Craig Pocock, Gavin Brown

J. Mach. Learn. Res., 2013

2011

Boosting as a Product of Experts.

Narayanan Unny Edakunni, Gary Brown, Tim Kovacs

Proceedings of the UAI 2011, 2011

Accuracy exponentiation in UCS and its effect on voting margins.

Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Online, GA based mixture of experts: a probabilistic model of ucs.

Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2009

Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors.

Narayanan Unny Edakunni, Sethu Vijayakumar

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Modeling UCS as a mixture of experts.

Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2007

Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.

Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar

Proceedings of the IJCAI 2007, 2007