Bistra Dilkina

161 papers A* 42A 16B 10C 7Misc 2Journal 64Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
Backbones in Pseudo-Boolean Optimization: Extraction and Analysis.
ICAART (5)
Matías Francia-Carramiñana, Bryan Alvarado-Ulloa, Dorit S. Hochbaum, Bistra Dilkina, Ricardo Ñanculef, Roberto Asín-Achá
2025 A* conf
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems.
IJCAI
Junyang Cai, Serdar Kadioglu, Bistra Dilkina
2025 J jnl
Global Constraint LLM Agents for Text-to-Model Translation.
CoRR
Junyang Cai, Serdar Kadioglu, Bistra Dilkina
2025 J jnl
ID-PaS : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs.
CoRR
Junyang Cai, El Mehdi Er Raqabi, Pascal Van Hentenryck, Bistra Dilkina
2025 J jnl
Iterative Deepening Sampling for Large Language Models.
CoRR
Weizhe Chen, Sven Koenig, Bistra Dilkina
2025 J jnl
LSPO: Length-aware Dynamic Sampling for Policy Optimization in LLM Reasoning.
CoRR
Weizhe Chen, Sven Koenig, Bistra Dilkina
2025 J jnl
Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk.
CoRR
Weimin Huang, Ryan Piansky, Bistra Dilkina, Daniel K. Molzahn
2025 — conf
Multi-task Representation Learning for Mixed Integer Linear Programming.
CPAIOR (1)
Junyang Cai, Taoan Huang, Bistra Dilkina
2025 J jnl
Neuro-Symbolic Acceleration of MILP Motion Planning with Temporal Logic and Chance Constraints.
CoRR
Junyang Cai, Weimin Huang, Jyotirmoy V. Deshmukh, Lars Lindemann, Bistra Dilkina
2025 J jnl
ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search.
CoRR
Alican Yilmaz, Junyang Cai, Serdar Kadioglu, Bistra Dilkina
2025 J jnl
Solving Multi-agent Path Finding as an LLM Benchmark: How, How Good and Why.
Trans. Mach. Learn. Res.
Weizhe Chen, Sven Koenig, Bistra Dilkina
2024 A* conf
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
AAAI
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
2024 J jnl
Application-Driven Innovation in Machine Learning.
CoRR
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 J jnl
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem.
CoRR
Junyang Cai, Serdar Kadioglu, Bistra Dilkina
2024 A* conf
Contrastive Predict-and-Search for Mixed Integer Linear Programs.
ICML
Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina
2024 J jnl
Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods.
CoRR
Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina
2024 A* conf
Fragile Earth: Generative and Foundational Models for Sustainable Development.
KDD
Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024 A* conf
GenCO: Generating Diverse Designs with Combinatorial Constraints.
ICML
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2024 — ed.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part I
CPAIOR (1)
Bistra Dilkina
2024 — ed.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part II
CPAIOR (2)
Bistra Dilkina
2024 A conf
Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning.
ECAI
Junyang Cai, Taoan Huang, Bistra Dilkina
2024 J jnl
Learning Backdoors for Mixed Integer Programs with Contrastive Learning.
CoRR
Junyang Cai, Taoan Huang, Bistra Dilkina
2024 A conf
Learning Lagrangian Multipliers for the Travelling Salesman Problem.
CP
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2024 J jnl
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search.
CoRR
Weizhe Chen, Sven Koenig, Bistra Dilkina
2024 J jnl
Machine Learning Augmented Algorithms for Combinatorial Optimization Problems (Dagstuhl Seminar 24441).
Dagstuhl Reports
Deepak Ajwani, Bistra Dilkina, Tias Guns, Ulrich Carsten Meyer
2024 J jnl
Multi-task Representation Learning for Mixed Integer Linear Programming.
CoRR
Junyang Cai, Taoan Huang, Bistra Dilkina
2024 J jnl
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding.
CoRR
Weizhe Chen, Zhihan Wang, Jiaoyang Li, Sven Koenig, Bistra Dilkina
2024 A* conf
Position: Application-Driven Innovation in Machine Learning.
ICML
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 J jnl
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents.
CoRR
Weizhe Chen, Sven Koenig, Bistra Dilkina
2024 J jnl
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet.
CoRR
Weizhe Chen, Sven Koenig, Bistra Dilkina
2023 J jnl
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
CoRR
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
2023 J jnl
Artificial Intelligence/Operations Research Workshop 2 Report Out.
CoRR
John P. Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz
2023 A* conf
Deadline-Aware Multi-Agent Tour Planning.
ICAPS
Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig
2023 J jnl
Disaster world.
Comput. Math. Organ. Theory
David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read
2023 A* conf
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
KDD
Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
2023 J jnl
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature.
CoRR
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 A conf
Info-Wild: Knowledge Extraction and Management for Wildlife Conservation.
CIKM
Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller
2023 A* conf
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
NeurIPS
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 J jnl
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
CoRR
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 J jnl
Learning Lagrangian Multipliers for the Travelling Salesman Problem.
CoRR
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2023 B conf
Local Branching Relaxation Heuristics for Integer Linear Programs.
CPAIOR
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023 A* conf
Moccasin: Efficient Tensor Rematerialization for Neural Networks.
ICML
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
2023 J jnl
Moccasin: Efficient Tensor Rematerialization for Neural Networks.
CoRR
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
2023 B conf
Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths.
CPAIOR
Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore
2023 A* conf
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning.
ICML
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023 J jnl
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning.
CoRR
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023 A* conf
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems.
ICML
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2022 A* conf
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search.
AAAI
Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina
2022 A* conf
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework.
AAAI
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
2022 A* conf
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
KDD
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
2022 C conf
Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning.
COMPASS
Weizhe Chen, Eshwar Prasad Sivaramakrishnan, Bistra Dilkina
2022 B conf
Learning Pseudo-Backdoors for Mixed Integer Programs.
CPAIOR
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2022 B conf
Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding.
SOCS
Shuyang Zhang, Jiaoyang Li, Taoan Huang, Sven Koenig, Bistra Dilkina
2022 J jnl
Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems.
Eur. J. Oper. Res.
Yu Yang, Natashia Boland, Bistra Dilkina, Martin W. P. Savelsbergh
2022 J jnl
Local Branching Relaxation Heuristics for Integer Linear Programs.
CoRR
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2022 J jnl
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems.
CoRR
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2021 C conf
Becoming Good at AI for Good.
AIES
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
Becoming Good at AI for Good.
CoRR
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021 A* conf
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.
AAAI
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
2021 J jnl
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.
CoRR
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
2021 J jnl
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework.
CoRR
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
2021 A* conf
Fragile Earth: Accelerating Progress towards Equitable Sustainability.
KDD
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
2021 J jnl
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling.
CoRR
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2021 A conf
Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding.
AAMAS
Taoan Huang, Bistra Dilkina, Sven Koenig
2021 B conf
Learning Pseudo-Backdoors for Mixed Integer Programs.
SOCS
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2021 J jnl
Learning Pseudo-Backdoors for Mixed Integer Programs.
CoRR
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2021 A* conf
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search.
AAAI
Taoan Huang, Sven Koenig, Bistra Dilkina
2020 A* conf
A General Large Neighborhood Search Framework for Solving Integer Linear Programs.
NeurIPS
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
2020 J jnl
A General Large Neighborhood Search Framework for Solving Integer Programs.
CoRR
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
2020 A conf
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.
WACV
Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
2020 A ed.
ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)
ECAI
Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang
2020 A* conf
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation.
IJCAI
Pramith Devulapalli, Bistra Dilkina, Yexiang Xue
2020 A* conf
End-to-End Game-Focused Learning of Adversary Behavior in Security Games.
AAAI
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2020 C conf
Enhancing Seismic Resilience of Water Pipe Networks.
COMPASS
Taoan Huang, Bistra Dilkina
2020 A* conf
Human-Machine Collaboration for Fast Land Cover Mapping.
AAAI
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2020 J jnl
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search.
CoRR
Taoan Huang, Bistra Dilkina, Sven Koenig
2020 A* conf
MIPaaL: Mixed Integer Program as a Layer.
AAAI
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2020 J jnl
Model Generalization in Deep Learning Applications for Land Cover Mapping.
CoRR
Lucas Hu, Caleb Robinson, Bistra Dilkina
2020 A* conf
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version).
ICDE
Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
2020 A* conf
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability.
AAAI
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2020 — conf
Video Game Level Repair via Mixed Integer Linear Programming.
AIIDE
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2020 J jnl
Video Game Level Repair via Mixed Integer Linear Programming.
CoRR
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2020 C conf
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest.
IGARSS
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
2019 A conf
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World.
AAMAS
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2019 B conf
Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure.
ICTAI
Amrita Gupta, Bistra Dilkina
2019 — conf
Combinatorial Attacks on Binarized Neural Networks.
ICLR (Poster)
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
2019 J jnl
Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
2019 J jnl
Decision-Focused Learning of Adversary Behavior in Security Games.
CoRR
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2019 A conf
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge.
AAMAS
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
2019 A* conf
End to end learning and optimization on graphs.
NeurIPS
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
2019 J jnl
End to end learning and optimization on graphs.
CoRR
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
2019 J jnl
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences.
CoRR
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
2019 — conf
Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences.
ICCS (1)
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
2019 J jnl
Human-Machine Collaboration for Fast Land Cover Mapping.
CoRR
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
2019 — conf
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.
PKDD/ECML Workshops (1)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2019 A* conf
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data.
CVPR
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
2019 A* conf
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.
KDD
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019 J jnl
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data.
CoRR
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019 J jnl
MIPaaL: Mixed Integer Program as a Layer.
CoRR
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2019 A* conf
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
AAAI
Bryan Wilder, Bistra Dilkina, Milind Tambe
2019 J jnl
Migration patterns under different scenarios of sea level rise.
CoRR
Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
2019 J jnl
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.
CoRR
Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
2019 A conf
Using Game Theory in Real Time in the Real World: A Conservation Case Study.
AAMAS
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2018 C conf
A Machine Learning Approach to Modeling Human Migration.
COMPASS
Caleb Robinson, Bistra Dilkina
2018 A conf
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers.
AAMAS
Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel
2018 C conf
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.
COMPASS
Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018 J jnl
Combinatorial Attacks on Binarized Neural Networks.
CoRR
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
2018 A* conf
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management.
IJCAI
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2018 J jnl
Emergence and Evolution of Hierarchical Structure in Complex Systems.
CoRR
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
2018 — conf
Imbalanced Collusive Security Games.
GameSec
Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos
2018 C conf
Infrastructure Resilience for Climate Adaptation.
COMPASS
Amrita Gupta, Caleb Robinson, Bistra Dilkina
2018 J jnl
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
CoRR
Bryan Wilder, Bistra Dilkina, Milind Tambe
2018 J jnl
δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains.
Appl. Netw. Sci.
Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina, Shella D. Keilholz
2017 — conf
A Deep Learning Approach for Population Estimation from Satellite Imagery.
GeoHumanities@SIGSPATIAL
Caleb Robinson, Fred Hohman, Bistra Dilkina
2017 J jnl
A Deep Learning Approach for Population Estimation from Satellite Imagery.
CoRR
Caleb Robinson, Fred Hohman, Bistra Dilkina
2017 J jnl
A Machine Learning Approach to Modeling Human Migration.
CoRR
Caleb Robinson, Bistra Dilkina
2017 J jnl
Achieving full connectivity of sites in the multiperiod reserve network design problem.
Comput. Oper. Res.
Nahid Jafari, Bryan L. Nuse, Clinton T. Moore, Bistra Dilkina, Jeffrey Hepinstall-Cymerman
2017 — conf
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.
SIGSPATIAL/GIS
Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam
2017 A* conf
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information.
AAAI
Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes
2017 J jnl
Hawkes Processes for Invasive Species Modeling and Management.
CoRR
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
2017 — conf
Learning Combinatorial Optimization Algorithms over Graphs.
NIPS
Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song
2017 J jnl
Learning Combinatorial Optimization Algorithms over Graphs.
CoRR
Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song
2017 A* conf
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
ICDE
Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2017 A* conf
Learning to Run Heuristics in Tree Search.
IJCAI
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao
2017 — conf
Optimal Patrol Planning for Green Security Games with Black-Box Attackers.
GameSec
Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017 — conf
\delta -MAPS: From fMRI Data to Functional Brain Networks.
COMPLEX NETWORKS
Ilias Fountalis, Constantine Dovrolis, Bistra Dilkina, Shella D. Keilholz
2016 A conf
Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design.
GECCO
Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina
2016 Misc conf
An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development.
WSC
Ajitesh Jain, David Robinson, Bistra Dilkina, Richard Fujimoto
2016 A* conf
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta.
KDD
Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2016 J jnl
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta.
CoRR
Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina
2016 J jnl
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.
IEEE Trans. Knowl. Data Eng.
Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2016 A* conf
Learning to Branch in Mixed Integer Programming.
AAAI
Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina
2016 A* conf
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data.
KDD
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
2016 J jnl
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data.
CoRR
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
2016 — conf
Network optimization of food flows in the U.S.
IEEE BigData
Caleb Robinson, Arezoo Shirazi, Mengmeng Liu, Bistra Dilkina
2016 J jnl
Refugee Resettlement Housing Scout.
CoRR
Unaiza Ahsan, Oleksandra Sopova, Wes Stayton, Bistra Dilkina
2016 J jnl
δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains.
CoRR
Ilias Fountalis, Annalisa Bracco, Bistra Dilkina, Constantine Dovrolis, Shella D. Keilholz
2015 — conf
Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains.
AAAI Workshop: Computational Sustainability
Nitin Jain, Bistra Dilkina
2015 — ed.
Computational Sustainability, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015.
AAAI Workshop: Computational Sustainability
Bistra Dilkina, Stefano Ermon, Rebecca A. Hutchinson, Daniel Sheldon
2015 A* conf
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.
AAAI
Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes
2015 J jnl
Reports from the 2015 AAAI Workshop Program.
AI Mag.
Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
2015 — conf
Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization.
AAAI Workshop: Computational Sustainability
Siamak Safarzadegan Gilan, Bistra Dilkina
2014 A* conf
Scalable diffusion-aware optimization of network topology.
KDD
Elias Boutros Khalil, Bistra Dilkina, Le Song
2014 A* conf
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
WWW
Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park
2014 J jnl
Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search.
Ann. Math. Artif. Intell.
Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2013 B conf
Improving Your Chances: Boosting Citizen Science Discovery.
HCOMP
Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling
2013 A* conf
Large Landscape Conservation - Synthetic and Real-World Datasets.
AAAI
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
2013 A* conf
Robust Network Design For Multispecies Conservation.
AAAI
Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery
2012 — —
Exploiting Structure in combinatorial Problems with Applications in Computational Sustainability.
Bistra Dilkina
2012 — conf
Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text.
EAAI
Douglas H. Fisher, Bistra Dilkina, Eric Eaton, Carla Gomes
2012 J jnl
Maximizing the Spread of Cascades Using Network Design
CoRR
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
2011 B conf
Upgrading Shortest Paths in Networks.
CPAIOR
Bistra Dilkina, Katherine J. Lai, Carla P. Gomes
2010 A conf
An Empirical Study of Optimization for Maximizing Diffusion in Networks.
CP
Kiyan Ahmadizadeh, Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2010 A conf
Maximizing the Spread of Cascades Using Network Design.
UAI
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
2010 B conf
Solving Connected Subgraph Problems in Wildlife Conservation.
CPAIOR
Bistra Dilkina, Carla P. Gomes
2009 A conf
Backdoors in the Context of Learning.
SAT
Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2009 B conf
Backdoors to Combinatorial Optimization: Feasibility and Optimality.
CPAIOR
Bistra Dilkina, Carla P. Gomes, Yuri Malitsky, Ashish Sabharwal, Meinolf Sellmann
2008 Misc conf
Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing.
ISAIM
Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2007 A* conf
The Impact of Network Topology on Pure Nash Equilibria in Graphical Games.
AAAI
Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2007 A conf
Tradeoffs in the Complexity of Backdoor Detection.
CP
Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal
2005 A conf
Extending Systematic Local Search for Job Shop Scheduling Problems.
CP
Bistra Dilkina, Lei Duan, William S. Havens