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Publication search results
found 18 matches
- 2024
- Narayanan Unny Edakunni, Utkarsh Tekriwal, Anukriti Jain:
Explaining Drift using Shapley Values. CoRR abs/2401.09756 (2024) - 2021
- Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni:
Statistical Guarantees for Fairness Aware Plug-In Algorithms. CoRR abs/2107.12783 (2021) - Vignesh Nanda Kumar, Narayanan Unny Edakunni:
Simple is better: Making Decision Trees faster using random sampling. CoRR abs/2108.08790 (2021) - 2020
- Sahil Manchanda
, Arun Rajkumar, Simarjot Kaur, Narayanan Unny:
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. CoRR abs/2001.03386 (2020) - Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh
, Narayanan Unny Edakunni:
FairXGBoost: Fairness-aware Classification in XGBoost. CoRR abs/2009.01442 (2020) - Aditya Lahiri, Narayanan Unny Edakunni:
Accurate and Intuitive Contextual Explanations using Linear Model Trees. CoRR abs/2009.05322 (2020) - 2016
- Nikolaos Nikolaou
, Narayanan Unny Edakunni, Meelis Kull, Peter A. Flach
, Gavin Brown
:
Cost-sensitive boosting algorithms: Do we really need them? Mach. Learn. 104(2-3): 359-384 (2016) - 2015
- Deepali Semwal, Sonal Patil, Sainyam Galhotra, Akhil Arora, Narayanan Unny:
STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media. CODS Companion Volume 2015: 7:1-7:4 - Narayanan Unny Edakunni, Aditi Raghunathan, Abhishek Tripathi, John Handley, Frédéric Roulland:
Probabilistic Dependency Networks for Prediction and Diagnostics. CoRR abs/1508.03130 (2015) - 2014
- Divanshu Gupta, Avinash Sharma, Narayanan Unny, Geetha Manjunath:
Graphical Analysis and Visualization of Big Data in Business Domains. BDA 2014: 53-56 - 2013
- Ming-Jie Zhao, Narayanan Unny Edakunni, Adam Craig Pocock, Gavin Brown:
Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications. J. Mach. Learn. Res. 14(1): 1033-1090 (2013) - 2012
- Narayanan Unny Edakunni, Gary Brown, Tim Kovacs:
Boosting as a Product of Experts. CoRR abs/1202.3716 (2012) - 2011
- Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs:
Online, GA based mixture of experts: a probabilistic model of ucs. GECCO 2011: 1267-1274 - Tim Kovacs, Narayanan Unny Edakunni, Gavin Brown:
Accuracy exponentiation in UCS and its effect on voting margins. GECCO 2011: 1251-1258 - Narayanan Unny Edakunni, Gary Brown, Tim Kovacs:
Boosting as a Product of Experts. UAI 2011: 187-194 - 2009
- Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall:
Modeling UCS as a mixture of experts. GECCO 2009: 1187-1194 - Narayanan Unny Edakunni, Sethu Vijayakumar:
Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors. MCS 2009: 102-111 - 2007
- Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar:
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. IJCAI 2007: 762-767
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