Nandan Sudarsanam

Empirical evidence of the impact of mobility on property crimes during the first two waves of the COVID-19 pandemic
Crime registration and distress calls during COVID-19: two sides of the coin
An Active Learning Framework for Efficient Robust Policy Search
Quantifying the maximum possible improvement in 2k experiments
Relationship between mobility and road traffic injuries during COVID-19 pandemic—The role of attendant factors
Impact of COVID-19 pandemic on road safety in Tamil Nadu, India
The Effect of COVID 19 on Crime
Learning With Limited Partial and Noisy Data
Inferring customer occupancy status in for-hire vehicles using PU Learning
Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size
Rate of Change Analysis for Interestingness Measures
Optimal Replicates for Designed Experiments under the on-line Framework
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data
Thresholding Bandits with Augmented UCB