Bistra Dilkina
27 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (8)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🏆
Keyword Champion
(3)
🏆
Grand Slam
🗃️
Keyword Collector
(120)
🚀
Conference Pioneer
💎
Century Club
(27)
🔥
Unstoppable
(9)
⚡
Prolific Year
(7)
Conferences
AAAI (10)
ICML (6)
IJCAI (4)
NIPS (4)
CVPR (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
combinatorial optimization
(9)
large neighborhood search
(5)
mixed integer programming
(3)
multi-agent path finding
(3)
decision-focused learning
(3)
integer linear program
(2)
end-to-end learning
(2)
land cover mapping
(2)
multi-armed bandit
(2)
contrastive learning
(2)
anytime algorithm
(2)
representation learning
(2)
semantic segmentation
(2)
deep learning
(2)
remote sensing
(2)
integer programming
(2)
surrogate model
(2)
branch and bound
(2)
domain adaptation
(2)
neural network
(2)
Papers
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems
IJCAI 2025
Contrastive Predict-and-Search for Mixed Integer Linear Programs
ICML 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
AAAI 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
GenCO: Generating Diverse Designs with Combinatorial Constraints
ICML 2024
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NIPS 2023
Moccasin: Efficient Tensor Rematerialization for Neural Networks
ICML 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
AAAI 2022
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
AAAI 2022
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
AAAI 2021
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
AAAI 2021
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos
WACV 2020
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
NIPS 2020
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
AAAI 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI 2020
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
IJCAI 2020
End to end learning and optimization on graphs
NIPS 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
AAAI 2019
Combinatorial Attacks on Binarized Neural Networks
ICLR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
IJCAI 2018
Learning Combinatorial Optimization Algorithms over Graphs
NIPS 2017
Learning to Run Heuristics in Tree Search
IJCAI 2017