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Bistra N. Dilkina
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- affiliation: University of Southern California, Los Angeles, CA, USA
- affiliation (former): Georgia Tech, USA
- affiliation (former): Cornell University, Ithaca, USA
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2020 – today
- 2024
[c91]Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. AAAI 2024: 17514-17522- [c90]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP 2024: 22:1-22:18 - [c89]Junyang Cai, Taoan Huang, Bistra Dilkina:
Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning. ECAI 2024: 2418-2425 - [c88]Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian:
GenCO: Generating Diverse Designs with Combinatorial Constraints. ICML 2024 - [c87]Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina:
Contrastive Predict-and-Search for Mixed Integer Linear Programs. ICML 2024 - [c86]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024 - [c85]Emre Eftelioglu
, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao:
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD 2024: 6710-6711 - [e4]Bistra Dilkina:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14742, Springer 2024, ISBN 978-3-031-60596-3 [contents] - [e3]Bistra Dilkina:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14743, Springer 2024, ISBN 978-3-031-60601-4 [contents] - [i48]Weizhe Chen, Sven Koenig, Bistra Dilkina:
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet. CoRR abs/2401.03630 (2024) - [i47]Junyang Cai, Taoan Huang, Bistra Dilkina:
Learning Backdoors for Mixed Integer Programs with Contrastive Learning. CoRR abs/2401.10467 (2024) - [i46]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Application-Driven Innovation in Machine Learning. CoRR abs/2403.17381 (2024) - [i45]Weizhe Chen, Sven Koenig, Bistra Dilkina:
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search. CoRR abs/2404.03101 (2024) - [i44]Weizhe Chen, Zhihan Wang, Jiaoyang Li, Sven Koenig, Bistra Dilkina:
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding. CoRR abs/2404.03554 (2024) - [i43]Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina:
Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. CoRR abs/2406.06954 (2024) - [i42]Weizhe Chen, Sven Koenig, Bistra Dilkina:
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents. CoRR abs/2406.11132 (2024) - [i41]Junyang Cai, Serdar Kadioglu, Bistra Dilkina:
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem. CoRR abs/2412.14382 (2024) - [i40]Junyang Cai, Taoan Huang, Bistra Dilkina:
Multi-task Representation Learning for Mixed Integer Linear Programming. CoRR abs/2412.14409 (2024) - 2023
- [j7]David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read:
Disaster world. Comput. Math. Organ. Theory 29(1): 84-117 (2023) - [c84]Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig:
Deadline-Aware Multi-Agent Tour Planning. ICAPS 2023: 189-197 - [c83]Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller:
Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. CIKM 2023: 5281-5284 - [c82]Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Local Branching Relaxation Heuristics for Integer Linear Programs. CPAIOR 2023: 96-113 - [c81]Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore:
Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. CPAIOR 2023: 460-476 - [c80]Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina:
Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML 2023: 1826-1837 - [c79]Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian:
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML 2023: 10034-10052 - [c78]Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. ICML 2023: 13869-13890 - [c77]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:
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD 2023: 5845-5846 - [c76]Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian:
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. NeurIPS 2023 - [i39]Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. CoRR abs/2302.01578 (2023) - [i38]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:
Artificial Intelligence/Operations Research Workshop 2 Report Out. CoRR abs/2304.04677 (2023) - [i37]Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina:
Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR abs/2304.14463 (2023) - [i36]Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian:
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. CoRR abs/2307.08964 (2023) - [i35]Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian:
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. CoRR abs/2310.02442 (2023) - [i34]Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau:
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR abs/2312.14836 (2023) - [i33]Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. CoRR abs/2312.16767 (2023) - 2022
- [j6]Yu Yang, Natashia Boland, Bistra Dilkina, Martin W. P. Savelsbergh:
Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems. Eur. J. Oper. Res. 301(3): 828-840 (2022) - [c75]Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. AAAI 2022: 3786-3795 - [c74]Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina:
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. AAAI 2022: 9368-9376 - [c73]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR 2022: 91-102 - [c72]Weizhe Chen, Eshwar Prasad Sivaramakrishnan, Bistra Dilkina:
Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning. COMPASS 2022: 429-438 - [c71]Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu:
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD 2022: 4866-4867 - [c70]Shuyang Zhang, Jiaoyang Li, Taoan Huang, Sven Koenig, Bistra Dilkina:
Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. SOCS 2022: 208-216 - [i32]Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian:
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR abs/2210.12547 (2022) - [i31]Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Local Branching Relaxation Heuristics for Integer Linear Programs. CoRR abs/2212.08183 (2022) - 2021
- [c69]Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI 2021: 7610-7619 - [c68]Taoan Huang, Sven Koenig, Bistra Dilkina:
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. AAAI 2021: 11246-11253 - [c67]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:
Becoming Good at AI for Good. AIES 2021: 664-673 - [c66]Taoan Huang, Bistra Dilkina, Sven Koenig:
Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. AAMAS 2021: 611-619 - [c65]Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan:
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD 2021: 4102-4103 - [c64]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS 2021: 170-172 - [i30]Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR abs/2101.04108 (2021) - [i29]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:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - [i28]Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue:
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR abs/2106.05080 (2021) - [i27]Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR abs/2107.03003 (2021) - [i26]Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. CoRR abs/2110.08423 (2021) - 2020
- [c63]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI 2020: 1369-1377 - [c62]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI 2020: 1378-1386 - [c61]Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. AAAI 2020: 1504-1511 - [c60]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. AAAI 2020: 2509-2517 - [c59]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. AIIDE 2020: 151-158 - [c58]Taoan Huang, Bistra Dilkina:
Enhancing Seismic Resilience of Water Pipe Networks. COMPASS 2020: 44-52 - [c57]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:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). ICDE 2020: 1898-1901 - [c56]Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic:
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS 2020: 7046-7049 - [c55]Pramith Devulapalli, Bistra Dilkina, Yexiang Xue:
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. IJCAI 2020: 4338-4344 - [c54]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Linear Programs. NeurIPS 2020 - [c53]Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe:
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV 2020: 1736-1745 - [e2]Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang:
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). Frontiers in Artificial Intelligence and Applications 325, IOS Press 2020, ISBN 978-1-64368-100-9 [contents] - [i25]Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Programs. CoRR abs/2004.00422 (2020) - [i24]Lucas Hu, Caleb Robinson, Bistra Dilkina:
Model Generalization in Deep Learning Applications for Land Cover Mapping. CoRR abs/2008.10351 (2020) - [i23]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. CoRR abs/2010.06627 (2020) - [i22]Taoan Huang, Bistra Dilkina, Sven Koenig:
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. CoRR abs/2012.06005 (2020)
2010 – 2019
- 2019
- [j5]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:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c52]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. AAAI 2019: 1658-1665 - [c51]Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe:
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS 2019: 395-403 - [c50]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS 2019: 1838-1840 - [c49]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS 2019: 2336-2338 - [c48]Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic:
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR 2019: 12726-12735 - [c47]Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences. ICCS (1) 2019: 468-482 - [c46]Elias B. Khalil, Amrita Gupta, Bistra Dilkina:
Combinatorial Attacks on Binarized Neural Networks. ICLR (Poster) 2019 - [c45]Amrita Gupta, Bistra Dilkina:
Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. ICTAI 2019: 456-463 - [c44]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD 2019: 2430-2438 - [c43]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. NeurIPS 2019: 4674-4685 - [c42]Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) 2019: 555-569 - [i21]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR abs/1902.01506 (2019) - [i20]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR abs/1903.00958 (2019) - [i19]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:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. CoRR abs/1903.06669 (2019) - [i18]Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz:
Migration patterns under different scenarios of sea level rise. CoRR abs/1904.10160 (2019) - [i17]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. CoRR abs/1905.13732 (2019) - [i16]Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences. CoRR abs/1906.02446 (2019) - [i15]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. CoRR abs/1906.04176 (2019) - [i14]Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. CoRR abs/1907.05912 (2019) - 2018
- [j4]Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina, Shella D. Keilholz:
δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains. Appl. Netw. Sci. 3(1): 21:1-21:24 (2018) - [c41]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:
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. AAMAS 2018: 823-831 - [c40]Amrita Gupta, Caleb Robinson, Bistra Dilkina:
Infrastructure Resilience for Climate Adaptation. COMPASS 2018: 28:1-28:8 - [c39]Caleb Robinson, Bistra Dilkina:
A Machine Learning Approach to Modeling Human Migration. COMPASS 2018: 30:1-30:8 - [c38]Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS 2018: 40:1-40:12 - [c37]Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos:
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - [c36]Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha:
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. IJCAI 2018: 3385-3392 - [i13]Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Emergence and Evolution of Hierarchical Structure in Complex Systems. CoRR abs/1805.04924 (2018) - [i12]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. CoRR abs/1809.05504 (2018) - [i11]Elias B. Khalil, Amrita Gupta, Bistra Dilkina:
Combinatorial Attacks on Binarized Neural Networks. CoRR abs/1810.03538 (2018) - 2017
- [j3]Nahid Jafari, Bryan L. Nuse, Clinton T. Moore, Bistra Dilkina, Jeffrey Hepinstall-Cymerman:
Achieving full connectivity of sites in the multiperiod reserve network design problem. Comput. Oper. Res. 81: 119-127 (2017) - [c35]Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes:
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. AAAI 2017: 4552-4558 - [c34]Ilias Fountalis, Constantine Dovrolis, Bistra Dilkina, Shella D. Keilholz:
\delta -MAPS: From fMRI Data to Functional Brain Networks. COMPLEX NETWORKS 2017: 1237-1249 - [c33]Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Optimal Patrol Planning for Green Security Games with Black-Box Attackers. GameSec 2017: 458-477 - [c32]Caleb Robinson, Fred Hohman, Bistra Dilkina:
A Deep Learning Approach for Population Estimation from Satellite Imagery. GeoHumanities@SIGSPATIAL 2017: 47-54 - [c31]Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam:
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. SIGSPATIAL/GIS 2017: 67:1-67:4 - [c30]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). ICDE 2017: 35-36 - [c29]Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao:
Learning to Run Heuristics in Tree Search. IJCAI 2017: 659-666 - [c28]Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song:
Learning Combinatorial Optimization Algorithms over Graphs. NIPS 2017: 6348-6358 - [i10]Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song:
Learning Combinatorial Optimization Algorithms over Graphs. CoRR abs/1704.01665 (2017) - [i9]Caleb Robinson, Fred Hohman, Bistra Dilkina:
A Deep Learning Approach for Population Estimation from Satellite Imagery. CoRR abs/1708.09086 (2017) - [i8]Caleb Robinson, Bistra Dilkina:
A Machine Learning Approach to Modeling Human Migration. CoRR abs/1711.05462 (2017) - [i7]Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha:
Hawkes Processes for Invasive Species Modeling and Management. CoRR abs/1712.04386 (2017) - 2016
- [j2]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Trans. Knowl. Data Eng. 28(6): 1518-1531 (2016) - [c27]Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina:
Learning to Branch in Mixed Integer Programming. AAAI 2016: 724-731 - [c26]Caleb Robinson, Arezoo Shirazi, Mengmeng Liu, Bistra Dilkina:
Network optimization of food flows in the U.S. IEEE BigData 2016: 2190-2198 - [c25]Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina:
Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. GECCO 2016: 589-596 - [c24]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina:
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. KDD 2016: 185-194 - [c23]Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data. KDD 2016: 1185-1194 - [c22]Ajitesh Jain, David Robinson, Bistra Dilkina, Richard Fujimoto:
An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development. WSC 2016: 1218-1229 - [i6]Payam Siyari, Bistra Dilkina, Constantine Dovrolis:
Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data. CoRR abs/1602.05561 (2016) - [i5]Ilias Fountalis, Annalisa Bracco, Bistra Dilkina, Constantine Dovrolis, Shella D. Keilholz:
δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains. CoRR abs/1602.07249 (2016) - [i4]Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina:
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. CoRR abs/1602.09067 (2016) - [i3]Unaiza Ahsan, Oleksandra Sopova, Wes Stayton, Bistra Dilkina:
Refugee Resettlement Housing Scout. CoRR abs/1609.09066 (2016) - 2015
- [c21]Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes:
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. AAAI 2015: 644-650 - [c20]Siamak Safarzadegan Gilan, Bistra Dilkina:
Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization. AAAI Workshop: Computational Sustainability 2015 - [c19]Nitin Jain, Bistra Dilkina:
Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains. AAAI Workshop: Computational Sustainability 2015 - [e1]Bistra Dilkina, Stefano Ermon, Rebecca A. Hutchinson, Daniel Sheldon:
Computational Sustainability, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. AAAI Technical Report WS-15-06, AAAI Press 2015, ISBN 978-1-57735-717-9 [contents] - [i2]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:
Reports from the 2015 AAAI Workshop Program. AI Mag. 36(2): 90-101 (2015) - 2014
- [j1]Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search. Ann. Math. Artif. Intell. 70(4): 399-431 (2014) - [c18]Elias Boutros Khalil, Bistra Dilkina, Le Song:
Scalable diffusion-aware optimization of network topology. KDD 2014: 1226-1235 - [c17]Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park:
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW 2014: 249-260 - 2013
- [c16]Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery:
Robust Network Design For Multispecies Conservation. AAAI 2013: 1305-1312 - [c15]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:
Large Landscape Conservation - Synthetic and Real-World Datasets. AAAI 2013: 1369-1372 - [c14]Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling:
Improving Your Chances: Boosting Citizen Science Discovery. HCOMP 2013: 198-206 - 2012
- [b1]Bistra Dilkina:
Exploiting Structure in combinatorial Problems with Applications in Computational Sustainability. Cornell University, USA, 2012 - [c13]Douglas H. Fisher, Bistra Dilkina, Eric Eaton, Carla Gomes:
Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text. EAAI 2012: 2369-2370 - [i1]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:
Maximizing the Spread of Cascades Using Network Design. CoRR abs/1203.3514 (2012) - 2011
- [c12]Bistra Dilkina, Katherine J. Lai, Carla P. Gomes:
Upgrading Shortest Paths in Networks. CPAIOR 2011: 76-91 - 2010
- [c11]Kiyan Ahmadizadeh, Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
An Empirical Study of Optimization for Maximizing Diffusion in Networks. CP 2010: 514-521 - [c10]Bistra Dilkina, Carla P. Gomes:
Solving Connected Subgraph Problems in Wildlife Conservation. CPAIOR 2010: 102-116 - [c9]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:
Maximizing the Spread of Cascades Using Network Design. UAI 2010: 517-526
2000 – 2009
- 2009
- [c8]Bistra Dilkina, Carla P. Gomes, Yuri Malitsky, Ashish Sabharwal, Meinolf Sellmann:
Backdoors to Combinatorial Optimization: Feasibility and Optimality. CPAIOR 2009: 56-70 - [c7]Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
Backdoors in the Context of Learning. SAT 2009: 73-79 - 2008
- [c6]Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing. ISAIM 2008 - 2007
- [c5]Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
The Impact of Network Topology on Pure Nash Equilibria in Graphical Games. AAAI 2007: 42-49 - [c4]Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal:
Tradeoffs in the Complexity of Backdoor Detection. CP 2007: 256-270 - 2005
- [c3]Bistra Dilkina, Lei Duan, William S. Havens:
Extending Systematic Local Search for Job Shop Scheduling Problems. CP 2005: 762-766 - 2004
- [c2]Bistra N. Dilkina, William S. Havens:
The U.S. National Football League Scheduling Problem. AAAI 2004: 814-819 - [c1]William S. Havens, Bistra N. Dilkina:
A Hybrid Schema for Systematic Local Search. Canadian AI 2004: 248-260
Coauthor Index
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