Nandan Sudarsanam

17 papers A* 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A drop-out mechanism for active learning based on one-attribute heuristics.
Frontiers Artif. Intell.
Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos
2024 J jnl
Active learning with human heuristics: an algorithm robust to labeling bias.
Frontiers Artif. Intell.
Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos
2022 — conf
An Active Learning Framework for Efficient Robust Policy Search.
COMAD/CODS
Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
2021 — conf
Inferring customer occupancy status in for-hire vehicles using PU Learning.
COMAD/CODS
Vaishnavi Muralidharan, Nandan Sudarsanam, Balaraman Ravindran
2020 J jnl
Rate of change analysis for interestingness measures.
Knowl. Inf. Syst.
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
2019 J jnl
An Active Learning Framework for Efficient Robust Policy Search.
CoRR
Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
2018 — conf
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay.
HICSS
Dibu John Philip, Nandan Sudarsanam, Balaraman Ravindran
2018 A* conf
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.
AAAI
Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2018 J jnl
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data.
Data Base
Dibu John Philip, Nandan Sudarsanam, Balaraman Ravindran
2018 J jnl
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings.
Comput. Ind. Eng.
Nandan Sudarsanam, Balaraman Ravindran
2017 J jnl
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates.
CoRR
Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017 J jnl
Rate of Change Analysis for Interestingness Measures.
CoRR
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
2017 A* conf
Thresholding Bandits with Augmented UCB.
IJCAI
Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017 J jnl
Thresholding Bandits with Augmented UCB.
CoRR
Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
2016 J jnl
Linear Bandit algorithms using the Bootstrap.
CoRR
Nandan Sudarsanam, Balaraman Ravindran
2011 J jnl
Using ensemble techniques to advance adaptive one-factor-at-a-time experimentation.
Qual. Reliab. Eng. Int.
Nandan Sudarsanam, Daniel D. Frey
2006 J jnl
Regularities in data from factorial experiments.
Complex.
Xiang Li, Nandan Sudarsanam, Daniel D. Frey