Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing. - Naveed Haghani; Claudio Contardo; Julian Yarkony (CoRR, 2020)

Integer Programming for Multi-Robot Planning: A Column Generation Approach. - Naveed Haghani; Jiaoyang Li 001; Sven Koenig; Gautam Kunapuli; Claudio Contardo; Julian Yarkony (CoRR, 2020)

Stabilizing Column Generation via Dual Optimal Inequalities with Applications in Logistics and Robotics. - Naveed Haghani (2020)

Multi-Robot Routing with Time Windows: A Column Generation Approach. - Naveed Haghani; Jiaoyang Li 001; Sven Koenig; Gautam Kunapuli; Claudio Contardo; Amelia Regan; Julian Yarkony (CoRR, 2021)

Family Column Generation: A Principled Stabilized Column Generation Approach. - Naveed Haghani; Julian Yarkony; Amelia Regan (CoRR, 2021)

Detour Dual Optimal Inequalities for Column Generation with Application to Routing and Location. - Julian Yarkony; Naveed Haghani; Amelia Regan (CoRR, 2021)

Graph Generation: A New Approach to Solving Expanded Linear Programming Relaxations. - Julian Yarkony; Naveed Haghani; Amelia Regan (CoRR, 2021)

Permutation Invariant Representations with Applications to Graph Deep Learning. - Radu V. Balan; Naveed Haghani; Maneesh Singh 001 (CoRR, 2022)

Smooth and Flexible Dual Optimal Inequalities. - Naveed Haghani; Claudio Contardo; Julian Yarkony (INFORMS J. Optim., 2022)

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. - Joshua McClellan; Naveed Haghani; John Winder; Furong Huang; Pratap Tokekar (NeurIPS, 2024)