Multiple stopping time POMDPs: Structural results. - Vikram Krishnamurthy; Anup Aprem; Sujay Bhatt (Allerton, 2016)

Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach. - Vikram Krishnamurthy; Anup Aprem; Sujay Bhatt (CoRR, 2016)

Sequential Detection of Market Shocks With Risk-Averse CVaR Social Sensors. - Vikram Krishnamurthy; Sujay Bhatt (IEEE J. Sel. Top. Signal Process., 2016)

Controlled information fusion with risk-averse CVaR social sensors. - Sujay Bhatt; Vikram Krishnamurthy (CDC, 2017)

Incentivized Information Fusion with Social Sensors. - Sujay Bhatt; Vikram Krishnamurthy (SIGMETRICS Perform. Evaluation Rev., 2017)

Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds. - Vikram Krishnamurthy; Sujay Bhatt; Tavis Pedersen (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Controlled Sentiment Sampling for Information Fusion in Social Networks. - Sujay Bhatt; Vikram Krishnamurthy; Muralidhar Rangaswamy (FUSION, 2018)

Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media. - Vikram Krishnamurthy; Anup Aprem; Sujay Bhatt (Autom., 2018)

Policy Gradient using Weak Derivatives for Reinforcement Learning. - Sujay Bhatt; Alec Koppel; Vikram Krishnamurthy (CDC, 2019)

Efficient Polling Algorithms using Friendship Paradox and Blackwell Dominance. - Sujay Bhatt; Buddhika Nettasinghe; Vikram Krishnamurthy (FUSION, 2019)

Adaptive Polling in Hierarchical Social Networks Using Blackwell Dominance. - Sujay Bhatt; Vikram Krishnamurthy (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Streisand Games on Complex Social Networks. - Sujay Bhatt; Tamer Basar (CDC, 2020)

Secure Discrete-Time Linear-Quadratic Mean-Field Games. - Muhammad Aneeq uz Zaman; Sujay Bhatt; Tamer Basar (GameSec, 2020)

Semiparametric Information State Embedding for Policy Search under Imperfect Information. - Sujay Bhatt; Weichao Mao; Alec Koppel; Tamer Basar (CDC, 2021)

Adversarial Linear-Quadratic Mean-Field Games over Multigraphs. - Muhammad Aneeq uz Zaman; Sujay Bhatt; Tamer Basar (CDC, 2021)

Controlled Sequential Information Fusion With Social Sensors. - Sujay Bhatt; Vikram Krishnamurthy (IEEE Trans. Autom. Control., 2021)

Minimax M-estimation under Adversarial Contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

Nearly Optimal Catoni's M-estimator for Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ICML, 2022)

Regret Analysis for RL using Renewal Bandit Feedback. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (ITW, 2022)

Offline change detection under contamination. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (UAI, 2022)

Catoni-style Confidence Sequences under Infinite Variance. - Sujay Bhatt; Guanhua Fang; Ping Li 001; Gennady Samorodnitsky (CoRR, 2022)

Piecewise Stationary Bandits under Risk Criteria. - Sujay Bhatt; Guanhua Fang; Ping Li 001 (AISTATS, 2023)

Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path. - Muhammad Aneeq uz Zaman; Alec Koppel; Sujay Bhatt; Tamer Basar (AISTATS, 2023)

Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. - Sihan Zeng; Sujay Bhatt; Eleonora Kreacic; Parisa Hassanzadeh; Alec Koppel; Sumitra Ganesh (CoRR, 2023)

Extreme Bandits Using Robust Statistics. - Sujay Bhatt; Ping Li 001; Gennady Samorodnitsky (IEEE Trans. Inf. Theory, 2023)

Bimodal Bandits: Max-Mean Regret Minimization. - Adit Jain; Sujay Bhatt; Vikram Krishnamurthy; Alec Koppel (IEEECONF, 2024)

Information-Directed Pessimism for Offline Reinforcement Learning. - Alec Koppel; Sujay Bhatt; Jiacheng Guo; Joe Eappen; Mengdi Wang; Sumitra Ganesh (ICML, 2024)

Learning Payment-Free Resource Allocation Mechanisms. - Sihan Zeng; Sujay Bhatt; Eleonora Kreacic; Parisa Hassanzadeh; Alec Koppel; Sumitra Ganesh (WSC, 2024)

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (Trans. Mach. Learn. Res., 2024)

Online MCMC Thinning with Kernelized Stein Discrepancy. - Alec Koppel; Joe Eappen; Sujay Bhatt; Cole Hawkins; Sumitra Ganesh (SIAM J. Math. Data Sci., 2024)

Decentralized Convergence to Equilibrium Prices in Trading Networks. - Edwin Lock; Benjamin Patrick Evans; Eleonora Kreacic; Sujay Bhatt; Alec Koppel; Sumitra Ganesh; Paul W. Goldberg (AAAI, 2025)

Approximate Equivariance in Reinforcement Learning. - Jung Yeon Park; Sujay Bhatt; Sihan Zeng; Lawson L. S. Wong; Alec Koppel; Sumitra Ganesh; Robin Walters 001 (AISTATS, 2025)

Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (AISTATS, 2025)

Partially Observable Contextual Bandits With Linear Payoffs. - Sihan Zeng; Sujay Bhatt; Alec Koppel; Sumitra Ganesh (ICASSP, 2025)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. - Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh (ICLR, 2025)

Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits. - Gianmarco Genalti; Sujay Bhatt; Nicola Gatti 001; Alberto Maria Metelli (CoRR, 2025)