Modeling broadcasting using omnidirectional and directional antenna in delay tolerant networks as an epidemic dynamics. - Fernando Peruani; Aurghya Maiti; Sanjib Sadhu; Hugues Chaté; Romit Roy Choudhury; Niloy Ganguly (IEEE J. Sel. Areas Commun., 2010)

Broadcasting in DTN as an epidemic dynamics. - Aurghya Maiti; Fernando Peruani; Romit Roy Choudhury; Niloy Ganguly (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2010)

Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. - Gaurav Sinha 001; Ayush Chauhan; Aurghya Maiti; Naman Poddar; Pulkit Goel (CoRR, 2019)

Causal Bandits on General Graphs. - Aurghya Maiti; Vineet Nair; Gaurav Sinha 001 (CoRR, 2021)

Intervention Efficient Algorithm for Two-Stage Causal MDPs. - Rahul Madhavan; Aurghya Maiti; Gaurav Sinha 001; Siddharth Barman (CoRR, 2021)

A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. - Aurghya Maiti; Vineet Nair; Gaurav Sinha 001 (UAI, 2022)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. - Harshita Chopra; Atanu R. Sinha; Sunav Choudhary; Ryan A. Rossi; Paavan Kumar Indela; Veda Pranav Parwatala; Srinjayee Paul; Aurghya Maiti (CIKM, 2023)

The Role of Unattributed Behavior Logs in Predictive User Segmentation. - Atanu R. Sinha; Harshita Chopra; Aurghya Maiti; Atishay Ganesh; Sarthak Kapoor; Saili Myana; Saurabh Mahapatra (CIKM, 2023)

Opponent-aware Role-based Learning in Team Competitive Markov Games. - Paramita Koley; Aurghya Maiti; Niloy Ganguly; Sourangshu Bhattacharya (CoRR, 2023)

Offsetting Unequal Competition Through RL-Assisted Incentive Schemes. - Paramita Koley; Aurghya Maiti; Sourangshu Bhattacharya; Niloy Ganguly (IEEE Trans. Comput. Soc. Syst., 2023)

Causal Contextual Bandits with Adaptive Context. - Rahul Madhavan; Aurghya Maiti; Gaurav Sinha 001; Siddharth Barman (RLJ, 2024)

Counterfactual Identification Under Monotonicity Constraints. - Aurghya Maiti; Drago Plecko; Elias Bareinboim (AAAI, 2025)