Flow-based Attribution in Graphical Models: A Recursive Shapley Approach. - Raghav Singal; George Michailidis; Hoiyi Ng (ICML, 2021)

A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation. - Jalaj Bhandari; Daniel Russo 001; Raghav Singal (Oper. Res., 2021)

How to Play Fantasy Sports Strategically (and Win). - Martin B. Haugh; Raghav Singal (Manag. Sci., 2021)

Counterfactual Analysis in Dynamic Models: Copulas and Bounds. - Martin Haugh; Raghav Singal (CoRR, 2022)

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. - Raghav Singal; Omar Besbes; Antoine Désir; Vineet Goyal; Garud Iyengar (Manag. Sci., 2022)

Counterfactual Analysis in Dynamic Latent State Models. - Martin B. Haugh; Raghav Singal (ICML, 2023)

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization. - Garud Iyengar; Raghav Singal (CoRR, 2024)

A Counterfactual Analysis of the Dishonest Casino. - Martin Haugh; Raghav Singal (CoRR, 2024)

Axiomatic effect propagation in structural causal models. - Raghav Singal; George Michailidis (J. Mach. Learn. Res., 2024)

Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply. - Omar Besbes; Vineet Goyal; Garud Iyengar; Raghav Singal (Manuf. Serv. Oper. Manag., 2024)

Peer Review Market Design: Effort-Based Matching and Admission Control. - Craig Fernandes; James Siderius; Raghav Singal (EC, 2025)