Dilkina, Bistra

40 publications

IJCAI 2025 Balans: Multi-Armed Bandits-Based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems Junyang Cai, Serdar Kadioglu, Bistra Dilkina

TMLR 2025 Solving Multi-Agent Path Finding as an LLM Benchmark: How, How Good and Why Weizhe Chen, Sven Koenig, Bistra Dilkina

AAAI 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig

ICML 2024 Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

ICML 2024 GenCO: Generating Diverse Designs with Combinatorial Constraints Aaron M Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

NeurIPSW 2023 Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

NeurIPS 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICMLW 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron M Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICMLW 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron M Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICML 2023 Moccasin: Efficient Tensor Rematerialization for Neural Networks Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina

ICML 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

ICMLW 2023 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner

ICML 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

ICMLW 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

AAAI 2022 Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina

AAAI 2022 Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

AAAI 2021 Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg

AAAI 2021 Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search Taoan Huang, Sven Koenig, Bistra Dilkina

NeurIPS 2020 A General Large Neighborhood Search Framework for Solving Integer Linear Programs Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina

WACV 2020 BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe

IJCAI 2020 Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation Pramith Devulapalli, Bistra Dilkina, Yexiang Xue

AAAI 2020 End-to-End Game-Focused Learning of Adversary Behavior in Security Games Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe

AAAI 2020 Human-Machine Collaboration for Fast Land Cover Mapping Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic

NeurIPSW 2020 Learning to Select Nodes in Bounded Suboptimal Conflict-Based Search for Multi-Agent Path Finding Taoan Huang, Bistra Dilkina, Sven Koenig

AAAI 2020 MIPaaL: Mixed Integer Program as a Layer Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe

AAAI 2020 To Signal or Not to Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe

ICLR 2019 Combinatorial Attacks on Binarized Neural Networks Elias B Khalil, Amrita Gupta, Bistra Dilkina

NeurIPS 2019 End to End Learning and Optimization on Graphs Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe

AAAI 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization Bryan Wilder, Bistra Dilkina, Milind Tambe

IJCAI 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha

AAAI 2017 Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes

NeurIPS 2017 Learning Combinatorial Optimization Algorithms over Graphs Elias Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song

IJCAI 2017 Learning to Run Heuristics in Tree Search Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao

AAAI 2016 Learning to Branch in Mixed Integer Programming Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina

AAAI 2015 Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes

AAAI 2013 Large Landscape Conservation - Synthetic and Real-World Datasets Bistra Dilkina, Katherine J. Lai, Ronan LeBras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery

AAAI 2013 Robust Network Design for Multispecies Conservation Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery

UAI 2010 Maximizing the Spread of Cascades Using Network Design Daniel Sheldon, Bistra Dilkina, Adam N. Elmachtoub, Ryan Finseth, Ashish Sabharwal, Jon Conrad, Carla P. Gomes, David B. Shmoys, William Allen, Ole Amundsen, William Vaughan

AAAI 2007 The Impact of Network Topology on Pure Nash Equilibria in Graphical Games Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal