Jayanta Mandi

According to our database, Jayanta Mandi authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities.

Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto

J. Artif. Intell. Res., 2024

Probability estimation and structured output prediction for learning preferences in last mile delivery.

Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns

Comput. Ind. Eng., 2024

Decision-Focused Learning to Predict Action Costs for Planning.

Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiébaux, Jörg Hoffmann, Tias Guns

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Learn and route: learning implicit preferences for vehicle routing.

Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns

Constraints An Int. J., September, 2023

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.

Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

CoRR, 2023

2022

Decision-Focused Learning: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns

Proceedings of the International Conference on Machine Learning, 2022

2021

Predict and Optimize: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns

CoRR, 2021

Learn-n-Route: Learning implicit preferences for vehicle routing.

Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns

CoRR, 2021

Contrastive Losses and Solution Caching for Predict-and-Optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP.

Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020

Discrete solution pools and noise-contrastive estimation for predict-and-optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

CoRR, 2020

Interior Point Solving for LP-based prediction+optimisation.

Jayanta Mandi, Tias Guns

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hybrid Classification and Reasoning for Image-Based Constraint Solving.

Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy, Tias Guns

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems.

Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support.

Dipankar Chakrabarti, Neelam Patodia, Udayan Bhattacharya, Indranil Mitra, Satyaki Roy, Jayanta Mandi, Nandini Roy, Prasun Nandy

Proceedings of the TENCON 2018, 2018