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Career

· Postdoctoral Researcher, KU Leuven2023–
· Machine Learning and Optimisation Researcher, Vrije Universiteit Brussel2018–2023
· PhD in Computer Science, Vrije Universiteit Brussel2018–2023
· Consultant, PwC India2017–2018
· Research Intern, Indian Institute of Management, Calcutta2016–2017
· Master's Degree Business Analytics PGDBA, Indian Institute of Management, Calcutta2015–2017
· Instrument and Control Engineer, BHEL Hyderabad2013–2015
· Bachelor's Degree Electronics and Electrical Communications Engineering, Indian Institute of Technology, Kharagpur2009–2013

Publications (40)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Journal of Artificial Intelligence Research · 2023
137
cited
Interior Point Solving for LP-based prediction+optimisation
Neural Information Processing Systems · 2020
125
cited
Contrastive Losses and Solution Caching for Predict-and-Optimize
International Joint Conference on Artificial Intelligence · 2020
67
cited
Decision-Focused Learning: Through the Lens of Learning to Rank
International Conference on Machine Learning · 2021
67
cited
Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support
IEEE Region 10 Conference · 2018
18
cited
Hybrid Classification and Reasoning for Image-based Constraint Solving
Integration of AI and OR Techniques in Constraint Programming · 2020
11
cited
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
arXiv.org · 2023
10
cited
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
arXiv.org · 2021
8
cited
Probability estimation and structured output prediction for learning preferences in last mile delivery
Computers & industrial engineering · 2022
7
cited
Learn and route: learning implicit preferences for vehicle routing
Constraints · 2023
5
cited
Learn-n-Route: Learning implicit preferences for vehicle routing
arXiv.org · 2021
4
cited
Perception-based constraint solving for sudoku images
Constraints · 2024
3
cited
Predict and Optimize: Through the Lens of Learning to Rank
arXiv.org · 2021
3
cited
Decision-Focused Learning to Predict Action Costs for Planning
European Conference on Artificial Intelligence · 2024
1
cited
Entropy-Based Consumption Diversity—The Case of India
Opportunities and Challenges in Development · 2019
1
cited
Differentiable Optimization Layer with an Interior Point Approach
2020
Discrete solution pools and noise-contrastive estimation for predict-and-optimize
arXiv.org · 2020
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
arXiv.org · 2025
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
arXiv.org · 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
International Joint Conference on Artificial Intelligence · 2025
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Jayanta Mandi | Researcher Profile | Sotabase | Sotabase