Jayanta Mandi

5 papers · 2020–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

IJCAI (2) AAAI (1) ICML (1) NeurIPS (1)

Top co-authors

Tias Guns (5) Victor Bucarey (1) Vı́ctor Bucarey (1) Michelangelo Diligenti (1) Marianne Defresne (1) Emir Demirovi? (1) Michele Lombardi (1) Maxime Mulamba (1) Maxime Mulamba Ke Tchomba (1) Peter J. Stuckey (1)

Research topics

Machine Learning (5) Mathematics & Optimization (5) Optimization (5) Core Methods (4) Optimization & Theory (4) Learning Types (3) Artificial Intelligence (1) Core AI (1)

Keywords

combinatorial optimization (4) linear programming (2) regret minimization (2) neural network (2) learning to rank (1) maximum likelihood estimation (1) preference elicitation (1) surrogate loss (1) bradley-terry model (1) multi-objective optimization (1) quadratic penalty (1) decision-focused learning (1) interior point method (1) scheduling problem (1) solution caching (1) negative example (1) predict and optimize (1) smart predict-and-optimize (1) weighted knapsack (1) optimal decision (1)

Papers

Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation IJCAI 2025 Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022 Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021 Interior Point Solving for LP-based prediction+optimisation NeurIPS 2020 Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems AAAI 2020