Regularities in data from factorial experiments. - Xiang Li; Nandan Sudarsanam; Daniel D. Frey (Complex., 2006)

Using ensemble techniques to advance adaptive one-factor-at-a-time experimentation. - Nandan Sudarsanam; Daniel D. Frey (Qual. Reliab. Eng. Int., 2011)

Linear Bandit algorithms using the Bootstrap. - Nandan Sudarsanam; Balaraman Ravindran (CoRR, 2016)

Thresholding Bandits with Augmented UCB. - Subhojyoti Mukherjee; Kolar Purushothama Naveen; Nandan Sudarsanam; Balaraman Ravindran (IJCAI, 2017)

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. - Subhojyoti Mukherjee; K. P. Naveen; Nandan Sudarsanam; Balaraman Ravindran (AAAI, 2018)

A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay. - Dibu John Philip; Nandan Sudarsanam; Balaraman Ravindran (HICSS, 2018)

Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings. - Nandan Sudarsanam; Balaraman Ravindran (Comput. Ind. Eng., 2018)

Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data. - Dibu John Philip; Nandan Sudarsanam; Balaraman Ravindran (Data Base, 2018)

Rate of change analysis for interestingness measures. - Nandan Sudarsanam; Nishanth Kumar; Abhishek Sharma; Balaraman Ravindran (Knowl. Inf. Syst., 2020)

Inferring customer occupancy status in for-hire vehicles using PU Learning. - Vaishnavi Muralidharan; Nandan Sudarsanam; Balaraman Ravindran (COMAD/CODS, 2021)

An Active Learning Framework for Efficient Robust Policy Search. - Sai Kiran Narayanaswami; Nandan Sudarsanam; Balaraman Ravindran (COMAD/CODS, 2022)

Active learning with human heuristics: an algorithm robust to labeling bias. - Sriram Ravichandran; Nandan Sudarsanam; Balaraman Ravindran; Konstantinos V. Katsikopoulos (Frontiers Artif. Intell., 2024)