Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures. - Kin G. Olivares; O. Nganba Meetei; Ruijun Ma; Rohan Reddy; Mengfei Cao (CoRR, 2021)

FitNExT: Leveraging Transformers with Context-Augmented Start Tokens to Generate Recommendations for New Users in Connected Fitness at Peloton. - Shoya Yoshida; O. Nganba Meetei (BehavRec@RecSys, 2023)

Leveling Up the Peloton Homescreen: A System and Algorithm for Dynamic Row Ranking. - Natalia Chen; Oinam Nganba Meetei; Nilothpal Talukder; Alexey Zankevich (RecSys, 2023)

Probabilistic Forecasting with Coherent Aggregation. - Geoffrey Négiar; Ruijun Ma; O. Nganba Meetei; Mengfei Cao; Michael W. Mahoney (CoRR, 2023)

♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization. - Kin G. Olivares; Geoffrey Négiar; Ruijun Ma; Oinam Nganba Meetei; Mengfei Cao; Michael W. Mahoney (Trans. Mach. Learn. Res., 2024)