1 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment
Zhengchao Yang, Mithun Ghosh, Anish Saha +3
Ads demand forecasting for Walmart's ad products plays a critical role in enabling effective resource planning, allocation, and management of ads performance. In this paper, we int…
Graph Sparsifications using Neural Network Assisted Monte Carlo Tree Search
Alvin Chiu, Mithun Ghosh, Reyan Ahmed +3
Graph neural networks have been successful for machine learning, as well as for combinatorial and graph problems such as the Subgraph Isomorphism Problem and the Traveling Salesman…
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search
Reyan Ahmed, Mithun Ghosh, Kwang-Sung Jun +1
Graph neural networks are useful for learning problems, as well as for combinatorial and graph problems such as the Subgraph Isomorphism Problem and the Traveling Salesman Problem.…
Computing Steiner Trees using Graph Neural Networks
Reyan Ahmed, Md Asadullah Turja, Faryad Darabi Sahneh +3
Graph neural networks have been successful in many learning problems and real-world applications. A recent line of research explores the power of graph neural networks to solve com…
AgentBuddy: A Contextual Bandit based Decision Support System for Customer Support Agents
Hrishikesh Ganu, Mithun Ghosh, Shashi Roshan
In this short paper, we present early insights from a Decision Support System for Customer Support Agents (CSAs) serving customers of a leading accounting software. The system is u…