Publications

2022

Maryam Tabar, Dongwon Lee, David Hughes, and Amulya Yadav. Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. In Proc. 34th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI), 2022.

2021

Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung-Jae Lee and Milind Tambe. A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV among Youth Experiencing Homelessness. In Proc. of the Journal of Acquired Immunodeficiency Syndrome (JAIDS), Volume 88, Issue S1, pp. S20–S26, 2021.
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David Hughes, and Amulya Yadav. A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. In Proc. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3595–3604, 2021.
Hangzhi Guo, Thanh Nguyen, Amulya Yadav. CounterNet: End-to-End Training of Counterfactual Aware Prediction. In ICML 21 International Workshop on Algorithmic Recourse, 2021. Best Paper Award (Runner-Up) in Recourse-21 Workshop at ICML 2021.
Yu Liang, and Amulya Yadav. Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. In Proc. 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 790–798, 2021.
Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, and Amulya Yadav. Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. In Proc. 35th AAAI Conference on Artificial Intelligence, pp. 14748–14756, 2021.
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice and Milind Tambe. Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. In Proc. 35th AAAI Conference on Artificial Intelligence, pp. 14948–14956, 2021. Best Student Paper Award at the Mechanism Design for Social Good (MD4SG) Workshop, 2020.

2020

Yu Liang, Amulya Yadav. Efficient COVID-19 Testing Using POMDPs. In 3rd International Workshop on Artificial Intelligence for Social Good (AI4SG), 2020.
Maryam Tabar, Chi-Yang Hsu, Hangzhi Guo, Amirreza Bagherzadehkhorasani and Amulya Yadav. Ameliorating Farmer Suicides by Predicting Crop Price Trends using a Deep Learning Approach. In Proc. ECAI 2020 International Workshop on Artificial Intelligence for a Fair, Just and Equitable World (AI4EQ), 2020.
Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav. Identifying Homeless Youth at-risk of Substance Use Disorder: Data Driven Insights for Policymakers. In Proc. 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3092–3100, 2020.
Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang. Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. In Proc. 29th International Joint Conference on Artificial Intelligence (IJCAI), pp. 4389–4395, 2020.
Thanh Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen. Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. In Proc. 24th European Conference on Artificial Intelligence (ECAI), pp. 179–186, 2020.
Hangzhi Guo, Alexander Woodruff, Amulya Yadav. Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. In Proc. 32nd Intl. Conf. on Innovative Applications of Artificial Intelligence (IAAI), pp. 13294–13299, 2020.
Stephanie Milani, Amulya Yadav, Fei Fang, Thanh Nguyen, Zhou Fan and Saurabh Gulati. Intelligent Tutoring Strategies for Students with Autism Spectrum Disorder: A Reinforcement Learning Approach. In Proc. AAAI 2020 Workshop on Artifical Intelligence for Education (AI4EDEU), 2020.

2019

Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe. Exploring Algorithmic Fairness in Robust Graph Covering Problems. In Proc. 33rd Intl. Conf. on Neural Information Processing Systems (NeurIPS), pp. 15750–15761, 2019.
Thanh Nguyen, Amulya Yadav, Branislav Bosansky, Yu Liang. Tackling Sequential Attacks in Security Games. In Proc. 10th Conference on Decision and Game Theory for Security (Gamesec), pp. 331-351, 2019.
C. Gomes, T. Dietterich, C. Barrett, J. Conrad, B. Dilkina, S. Ermon, F. Fang, A. Farnsworth, A. Fern, X. Fern, D. Fink, D. Fisher, A. R., Flecker, D. Freund, A. Fuller, J. Gregoire, J. Hopcroft, S. Kelling, Z. Kolter, W. Powell, N. Sintov, J. Selker, B. Selman, D. Sheldon, D. Shmoys, M. Tambe, W. Wong, C. Wood, X. Wu, Y. Xue, A. Yadav, A. Yakubu, M. L. Zeeman. Computational Sustainability: Computing for a Better World and a Sustainable Future. In Communications of the ACM (CACM), pp. 56â65, Vol. 6, Issue 9, August 2019.
Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma. Optimizing Peer Referrals for Public Awareness using Contextual Bandits. In Proc. 2nd Intl. ACM Conf. on Computing & Sustainable Societies (COMPASS), pp. 74-85, 2019.
Tracy Jia Shen, Robert Cowell, Adita Gupta, Thai Le, Amulya Yadav, Dongwon Lee. How Gullible Are You? Predicting Susceptibility to Fake News. In Proc. 11th Intl. ACM Web Science Conf. (WebSci), pp. 287-288, 2019.
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe. Dont Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. In Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 395-403, 2019.

2018

Eric Rice, Robin Petering, Amanda Yoshioka-Maxwell, Jaih Craddock, Darlene Woo, Nicole Wilson, Laura Onasch-Vera, Bryan Wilder, Amulya Yadav and Milind Tambe. Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness. In Proc. of the Journal of the Society for Social Work and Research, Volume 9, Issue 4, pp. 551-573, 2018.
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe and Darlene Woo. Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. In Proc. 27th International Joint Conference on Artificial Intelligence (IJCAI), pp. 5399-5403, 2018.
Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Marcolino and Milind Tambe. Please be an influencer? Contingency Aware Influence Maximization. In Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1423-1432, 2018.
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice and Milind Tambe. Activating the Breakfast Club: Modeling Influence Spread in Natural World Social Networks. In Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1631-1640, 2018.

2017

Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe and Venil Loyd Noronha. Explanation Systems for Influence Maximization Algorithms. In Proc. 3rd Intl. IJCAI Workshop on Social Influence Analysis, 2017.
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. In Proc. 16th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1305-1313, 2017.
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo. Influence Maximization in the Field: The Arduous Journey From Emerging to Deployed Application. In Proc. 16th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 150-158, 2017. Best Paper Award Nomination at AAMAS-17
Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe. Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. In Proc. 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 4959-4963, 2017.
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe. Robust, Dynamic Influence Maximization. In Proc. 8th Intl. AAMAS Workshop on Optimization in Multiagent Systems, 2017.
Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice and Milind Tambe. Using Social Networks to Raise HIV Awareness Among Homeless Youth. In IBM Journal of Research and Development: Volume 61, Issue 6(4), pp. 1-10, 2017.

2016

Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara Grosz and Milind Tambe. POMDPs for Assisting Homeless Shelters: Computational and Deployment Challenges. In Proc. 2nd Intl. AAMAS Workshop on Issues with Deployment of Emerging Agent-based Systems, 2016. Most Visionary Paper Award at IDEAS-16
Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe and Heather Carmichael. PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. In AI Magazine: 37(2), pp. 47-62, July 2016.
Leandro Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav and Milind Tambe. Simultaneous Influencing and Mapping Social Networks. In Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1439-1440, 2016.
Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice and Milind Tambe. Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. In Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 740-748, 2016.
Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld and Milind Tambe. Protecting the NECTAR of the Ganga River through Game-Theoretic Factory Inspections. In Proc. 14th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), pp. 97-108, 2016.
Amulya Yadav, Ece Kamar, Barbara Grosz and Milind Tambe. HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth. In Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS Demo Track), pp. 1504-1506, 2016.

2015

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. An Extended Study on Addressing Defender Teamwork while accounting for Uncertainty in Attacker Defender Games using Iterative Dec-MDPs. In Multiagent and Grid Systems, Volume 11, Issue 4, pp. 189-226, 2015.
Thanh H. Nguyen, Francesco M. Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama and Aggrey Rwetsiba. Making the most of Our Regrets: Regret-based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. In Proc. 6th Conference on Decision and Game Theory for Security, pp. 170-191, 2015.
Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe and Heather Carmichael. Preventing HIV Spread in Homeless Populations using PSINET. In Proc. 27th AAAI Conference on Innovative Applications of Artificial Intelligence, pp. 4006-4011, 2015.
Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono and Timbul Batubara. Handling Payoff Uncertainty with Adversary Bounded Rationality in Green Security Domains. In Proc. 1st IJCAI Workshop on Algorithmic Game Theory, 2015.

2014

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. In Proc. 21st European Conference on Artificial Intelligence (ECAI), pp. 819-824, 2014.
Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe and Craig Boutilier. Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. In Proc. 28th AAAI Conference on Artificial Intelligence, pp. 756-762, 2014.

2012

Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, and Asif Ekbal. Genetic Algorithm Combined with Support Vector Machine for Building an Intrusion Detection System. In Proc. 1st International Conference on Advances in Computing, Communications & Informatics (ICACCI), pp. 566-572, 2012.