Bistra Dilkina
27 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π¬
Deep Specialist
(10)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(132)
Top co-authors
Research topics
Machine Learning
(20)
Mathematics & Optimization
(14)
Optimization
(14)
Deep Learning
(11)
Optimization & Theory
(11)
Learning Types Β· Machine Learning
(9)
Application Areas
(8)
Artificial Intelligence
(7)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Computer Science
(5)
Core AI
(5)
Foundations
(4)
Computer Vision
(3)
Applications
(2)
Keywords
combinatorial optimization
(10)
large neighborhood search
(5)
multi-agent path finding
(3)
decision-focused learning
(3)
contrastive learning
(3)
mixed integer programming
(3)
semantic segmentation
(2)
end-to-end learning
(2)
integer linear program
(2)
multi-armed bandit
(2)
domain adaptation
(2)
mixed integer linear programming
(2)
anytime algorithm
(2)
representation learning
(2)
deep learning
(2)
remote sensing
(2)
integer programming
(2)
branch and bound
(2)
surrogate model
(2)
land cover mapping
(2)
Papers
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems
IJCAI 2025
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
AAAI 2024
Contrastive Predict-and-Search for Mixed Integer Linear Programs
ICML 2024
GenCO: Generating Diverse Designs with Combinatorial Constraints
ICML 2024
Position: Application-Driven Innovation in Machine Learning
ICML 2024
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NeurIPS 2023
Moccasin: Efficient Tensor Rematerialization for Neural Networks
ICML 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
AAAI 2022
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
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
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
NeurIPS 2020
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos
WACV 2020
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
IJCAI 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
AAAI 2020
Combinatorial Attacks on Binarized Neural Networks
ICLR 2019
End to end learning and optimization on graphs
NeurIPS 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
AAAI 2019
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
IJCAI 2018
Learning Combinatorial Optimization Algorithms over Graphs
NeurIPS 2017
Learning to Run Heuristics in Tree Search
IJCAI 2017