Nandan Sudarsanam
Nandan Sudarsanam
Verified email at iitm.ac.in
Title
Cited by
Cited by
Year
Regularities in data from factorial experiments
X Li, N Sudarsanam, DD Frey
Complexity 11 (5), 32-45, 2006
982006
An adaptive one-factor-at-a-time method for robust parameter design: comparison with crossed arrays via case studies
DD Frey, N Sudarsanam
Journal of Mechanical Design 130 (2), 2008
162008
Thresholding bandits with augmented UCB
S Mukherjee, KP Naveen, N Sudarsanam, B Ravindran
arXiv preprint arXiv:1704.02281, 2017
82017
Using ensemble techniques to advance adaptive one‐factor‐at‐a‐time experimentation
N Sudarsanam, DD Frey
Quality and Reliability Engineering International 27 (7), 947-957, 2011
42011
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates
S Mukherjee, KP Naveen, N Sudarsanam, B Ravindran
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
32018
Using linear stochastic bandits to extend traditional offline designed experiments to online settings
N Sudarsanam, B Ravindran
Computers & Industrial Engineering 115, 471-485, 2018
22018
Quantifying and predicting prepayments in the microfinance environment
N Sudarsanam, DJ Philip
NSE-IFMR Finance Foundation Financial Deepening and Household Finance …, 2016
22016
Optimal replicates for designed experiments under the online framework
N Sudarsanam, BP Kannu, DD Frey
Research in Engineering Design 30 (3), 363-379, 2019
12019
Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size
N Sudarsanam, R Chandran, DD Frey
Journal of Mechanical Design 142 (3), 2020
2020
Rate of change analysis for interestingness measures
N Sudarsanam, N Kumar, A Sharma, B Ravindran
Knowledge and Information Systems 62 (1), 239-258, 2020
2020
Assignment
N Sudarsanam, B Ravindran
2019
An Active Learning Framework for Efficient Robust Policy Search
S Kiran Narayanaswami, N Sudarsanam, B Ravindran
arXiv preprint arXiv:1901.00117, 2019
2019
An Active Learning Framework for Efficient Robust Policy Search
SK Narayanaswami, N Sudarsanam, B Ravindran
arXiv preprint arXiv:1901.00117, 2019
2019
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data
DJ Philip, N Sudarsanam, B Ravindran
ACM SIGMIS Database: the DATABASE for Advances in Information Systems 49 (3 …, 2018
2018
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay
D Philip, N Sudarsanam, B Ravindran
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
2018
Linear Bandit algorithms using the Bootstrap
N Sudarsanam, B Ravindran
arXiv preprint arXiv:1605.01185, 2016
2016
NOC: Introduction to Data Analytics
N Sudarsanam, B Ravindran
National Programme on Technology Enhanced Learning (NPTEL), 2015
2015
Ensembles of Adaptive One-Factor at-a-Time experiments: methods, evaluation, and theory
N Sudarsanam
Massachusetts Institute of Technology, 2008
2008
MAPK Signaling Pathway Analysis ESD. 342–Spring 2006
G Bounova, M Hanowsky, N Sudarsanam
2006
MAPK SIGNALING PATHWAY ANALYSIS ESD. 342 FINAL PROJECT REPORT–MAY 16, 2006
G Bounova, M Hanowsky, N Sudarsanam
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