1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Graph Deep Factors for Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik +2
Deep probabilistic forecasting techniques have recently been proposed for modeling large collections of time-series. However, these techniques explicitly assume either complete ind…
cs.LG2020★ 1 cited
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik +1
Traditional methods for demand forecasting only focus on modeling the temporal dependency. However, forecasting on spatio-temporal data requires modeling of complex nonlinear relat…
cs.DC2020
Fast Distributed Bandits for Online Recommendation Systems
Kanak Mahadik, Qingyun Wu, Shuai Li +1
Contextual bandit algorithms are commonly used in recommender systems, where content popularity can change rapidly. These algorithms continuously learn latent mappings between user…