Bistra Dilkina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
71
Venues
25
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*AAAI18 papers
- BCPAIOR9 papers
- A*KDD8 papers
- A*ICML6 papers
- A*IJCAI4 papers
- ACP4 papers
- BSoCS3 papers
- A*ICDE2 papers
- BICAART1 paper
- AECAI1 paper
- ACIKM1 paper
- CAIES1 paper
- CIGARSS1 paper
- AWACV1 paper
- A*CVPR1 paper
- MulticonferenceICCS1 paper
- A*ICLR1 paper
- BICTAI1 paper
- AGECCO1 paper
- NationalWSC1 paper
- A*WWW1 paper
- BHCOMP1 paper
- AUAI1 paper
- ASAT1 paper
- NationalISAIM1 paper
Papers
71 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CPAIOR | Backbone-Based Predict and Search for Pseudo-Boolean Optimization. | Bryan Alvarado-Ulloa, Bistra Dilkina, Dorit S. Hochbaum, Ricardo anculef, Roberto Asn-Ach |
| 2026 | CPAIOR | Probing Features for Automatic Algorithm Selection for Pseudo-boolean Optimization. | Amanda Salinas-Pinto, Catalina Pezo, Dorit S. Hochbaum, Bistra Dilkina, Ricardo anculef, Roberto Asn-Ach |
| 2026 | ICAART | Backbones in Pseudo-Boolean Optimization: Extraction and Analysis. | Matas Francia-Carramiana, Bryan Alvarado-Ulloa, Dorit S. Hochbaum, Bistra Dilkina, Ricardo anculef, Roberto Asn-Ach |
| 2025 | CPAIOR | Multi-task Representation Learning for Mixed Integer Linear Programming. | Junyang Cai, Taoan Huang, Bistra Dilkina |
| 2025 | IJCAI | Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems. | Junyang Cai, Serdar Kadioglu, Bistra Dilkina |
| 2025 | SoCS | Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance. | Weimin Huang, Natalie M. Isenberg, Jn Drgona, Draguna L. Vrabie, Bistra Dilkina |
| 2024 | AAAI | Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. | Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig |
| 2024 | CP | Learning Lagrangian Multipliers for the Travelling Salesman Problem. | Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau |
| 2024 | ECAI | Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning. | Junyang Cai, Taoan Huang, Bistra Dilkina |
| 2024 | ICML | GenCO: Generating Diverse Designs with Combinatorial Constraints. | Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian |
| 2024 | ICML | Contrastive Predict-and-Search for Mixed Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2024 | KDD | Fragile Earth: Generative and Foundational Models for Sustainable Development. | Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao |
| 2023 | CIKM | Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. | Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Mller |
| 2023 | CPAIOR | Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. | Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore |
| 2023 | CPAIOR | Local Branching Relaxation Heuristics for Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | ICML | Moccasin: Efficient Tensor Rematerialization for Neural Networks. | Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina |
| 2023 | ICML | SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. | Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian |
| 2023 | ICML | Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | KDD | Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. | 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 |
| 2022 | AAAI | Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. | Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina |
| 2022 | AAAI | Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. | Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina |
| 2022 | CPAIOR | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2022 | KDD | Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. | Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu |
| 2022 | SoCS | Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. | Shuyang Zhang, Jiaoyang Li, Taoan Huang, Sven Koenig, Bistra Dilkina |
| 2021 | AAAI | Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. | Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg |
| 2021 | AAAI | Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. | Taoan Huang, Sven Koenig, Bistra Dilkina |
| 2021 | AIES | Becoming Good at AI for Good. | 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 | KDD | Fragile Earth: Accelerating Progress towards Equitable Sustainability. | Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan |
| 2021 | SoCS | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2020 | AAAI | 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 |
| 2020 | AAAI | MIPaaL: Mixed Integer Program as a Layer. | Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | End-to-End Game-Focused Learning of Adversary Behavior in Security Games. | Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | Human-Machine Collaboration for Fast Land Cover Mapping. | Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic |
| 2020 | ICDE | Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). | 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 | IGARSS | Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. | Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic |
| 2020 | IJCAI | Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. | Pramith Devulapalli, Bistra Dilkina, Yexiang Xue |
| 2020 | WACV | 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 |
| 2019 | AAAI | Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. | Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2019 | CVPR | Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. | Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic |
| 2019 | ICCS | Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences. | Payam Siyari, Bistra Dilkina, Constantine Dovrolis |
| 2019 | ICLR | Combinatorial Attacks on Binarized Neural Networks. | Elias B. Khalil, Amrita Gupta, Bistra Dilkina |
| 2019 | ICTAI | Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. | Amrita Gupta, Bistra Dilkina |
| 2019 | KDD | Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. | Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe |
| 2018 | IJCAI | Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. | Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha |
| 2017 | AAAI | 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 |
| 2017 | ICDE | Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). | Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang |
| 2017 | IJCAI | Learning to Run Heuristics in Tree Search. | Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao |
| 2016 | AAAI | Learning to Branch in Mixed Integer Programming. | Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina |
| 2016 | GECCO | Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design. | Siamak Safarzadegan Gilan, Naman Goyal, Bistra Dilkina |
| 2016 | KDD | Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. | Michael A. Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina |
| 2016 | KDD | Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data. | Payam Siyari, Bistra Dilkina, Constantine Dovrolis |
| 2016 | WSC | An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development. | Ajitesh Jain, David Robinson, Bistra Dilkina, Richard Fujimoto |
| 2015 | AAAI | 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 |
| 2015 | AAAI | Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization. | Siamak Safarzadegan Gilan, Bistra Dilkina |
| 2015 | AAAI | Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains. | Nitin Jain, Bistra Dilkina |
| 2014 | KDD | Scalable diffusion-aware optimization of network topology. | Elias Boutros Khalil, Bistra Dilkina, Le Song |
| 2014 | WWW | To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. | Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park |
| 2013 | AAAI | Robust Network Design For Multispecies Conservation. | Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery |
| 2013 | AAAI | 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 |
| 2013 | HCOMP | Improving Your Chances: Boosting Citizen Science Discovery. | Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling |
| 2011 | CPAIOR | Upgrading Shortest Paths in Networks. | Bistra Dilkina, Katherine J. Lai, Carla P. Gomes |
| 2010 | CP | An Empirical Study of Optimization for Maximizing Diffusion in Networks. | Kiyan Ahmadizadeh, Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal |
| 2010 | CPAIOR | Solving Connected Subgraph Problems in Wildlife Conservation. | Bistra Dilkina, Carla P. Gomes |
| 2010 | UAI | 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 |
| 2009 | CPAIOR | Backdoors to Combinatorial Optimization: Feasibility and Optimality. | Bistra Dilkina, Carla P. Gomes, Yuri Malitsky, Ashish Sabharwal, Meinolf Sellmann |
| 2009 | SAT | Backdoors in the Context of Learning. | Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal |
| 2008 | ISAIM | Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing. | Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal |
| 2007 | AAAI | The Impact of Network Topology on Pure Nash Equilibria in Graphical Games. | Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal |
| 2007 | CP | Tradeoffs in the Complexity of Backdoor Detection. | Bistra Dilkina, Carla P. Gomes, Ashish Sabharwal |
| 2005 | CP | Extending Systematic Local Search for Job Shop Scheduling Problems. | Bistra Dilkina, Lei Duan, William S. Havens |