C34

RoCourseNet: Robust Training of a Prediction Aware Recourse Model. By Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini, and Amulya Yadav. In CIKM-23: In Proc. 32st ACM International Conference on Information and Knowledge Management (CIKM), pp. 619--628, 2023. [PDF]

C33

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. By Hangzhi Guo, Thanh Nguyen, Amulya Yadav. In KDD-23: In Proc. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 577--589, 2023. [PDF]

C32

A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. By Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, and Amulya Yadav. In AAAI-23: In Proc. 37th AAAI Conference on Artificial Intelligence (AAAI), pp. 14620--14627, 2023. [PDF]

W9

Distributionally Robust Counterfactual Explanations via an End-to-End Training Approach. By Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini, and Amulya Yadav. In AdvML-22: In Proc. International ICML 2022 Workshop on New Frontiers in Adversarial Machine Learning (AdvML), 2022. [PDF]

C31

The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender under Uncertainty? By Thanh Nguyen, and Amulya Yadav. In GameSec-22: In Proc. 13th International Conference on Decision and Game Theory for Security (GameSec), 2022. [PDF]

C30

WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. By Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, and Dongwon Lee. In CIKM-22: In Proc. 31st ACM International Conference on Information and Knowledge Management (CIKM), pp. 3514--3523, 2022. [PDF]

C29

Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. By Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, and Dongwon Lee. In IJCAI-ECAI-22: In Proc. 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI), pp. 5178--5184, 2022. [PDF]

J5

A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. By Thanh Nguyen, Amulya Yadav. In Games: In Proc. of Games Journal, 13, 81, 2022. [PDF]

C28

Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. By Maryam Tabar, Dongwon Lee, David Hughes, and Amulya Yadav. In IAAI-22: In Proc. 34th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI), pp. 12608--12614, 2022. [PDF]

J4

A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV among Youth Experiencing Homelessness. By Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung-Jae Lee and Milind Tambe. In JAIDS: Proc. of the Journal of Acquired Immunodeficiency Syndrome, Volume 88, Issue S1, pp. S20--S26, 2021. [Open Access Link]

C27

A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. By Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David Hughes, and Amulya Yadav. In KDD-21: In Proc. 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3595--3604, 2021. [PDF]

W8

CounterNet: End-to-End Training of Counterfactual Aware Prediction. By Hangzhi Guo, Thanh Nguyen, Amulya Yadav. In Recourse-21: In ICML 21 International Workshop on Algorithmic Recourse, 2021. [PDF] Best Paper Award (Runner-Up) in Recourse-21 Workshop at ICML 2021.

C26

Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. By Yu Liang, and Amulya Yadav. In AAMAS-21: In Proc. 20th International Conference on Autonomous Agents and Multiagent Systems, pp. 790--798, 2021. [PDF]

C25

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. By Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, and Amulya Yadav. In AAAI-21: In Proc. 35th AAAI Conference on Artificial Intelligence, pp. 14748--14756, 2021. [PDF]

C24

Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. By Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice and Milind Tambe. In AAAI-21: 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. Also presented at American Public Health Association Annual Meeting and Expo (APHA), 2020. [PDF]

W7

Efficient COVID-19 Testing Using POMDPs. By Yu Liang, Amulya Yadav. In AI4SG-20: In 3rd International Workshop on Artificial Intelligence for Social Good (AI4SG), 2020. [PDF]

W6

Ameliorating Farmer Suicides by Predicting Crop Price Trends using a Deep Learning Approach. By Maryam Tabar, Chi-Yang Hsu, Hangzhi Guo, Amirreza Bagherzadehkhorasani and Amulya Yadav. In AI4EQ-20: Proc. ECAI 2020 International Workshop on Artificial Intelligence for a Fair, Just and Equitable World (AI4EQ), 2020. [PDF]

C23

Identifying Homeless Youth at-risk of Substance Use Disorder: Data Driven Insights for Policymakers. By Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav. In KDD-20: Proc. 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3092--3100, 2020. Press Coverage: Indian Express, Eurekalert, Sydney Online News, Kashmir Monitor, Full Stack Feed, OmmComm News [PDF]

C22

Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. By Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang. In IJCAI-20: Proc. 29th International Joint Conference on Artificial Intelligence (IJCAI), pp. 4389--4395, 2020. Press Coverage: Science Times, Health Crisis Alert, ScienceDaily, Biobehavioral Health Business, Digital Journal, The Imprint, Labroot, NewsGram, PSU News [PDF]

C21

Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. By Thanh Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen. In ECAI-20: Proc. 24th European Conference on Artificial Intelligence (ECAI), pp. 179--186, 2020. [PDF]

C20

Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. By Hangzhi Guo, Alexander Woodruff, Amulya Yadav. In IAAI-20: Proc. 32nd Intl. Conf. on Innovative Applications of Artificial Intelligence (IAAI), pp. 13294--13299, 2020 Press Coverage: The Print India, Development Channel, News Medical, PSU News [PDF]

W5

Intelligent Tutoring Strategies for Students with Autism Spectrum Disorder: A Reinforcement Learning Approach. By Stephanie Milani, Amulya Yadav, Fei Fang, Thanh Nguyen, Zhou Fan and Saurabh Gulati. In AI4EDU-20: Proc. AAAI 2020 Workshop on Artifical Intelligence for Education (AI4EDEU), 2020. [PDF]

C19

Exploring Algorithmic Fairness in Robust Graph Covering Problems. By Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe. In NeurIPS-19: Proc. 33rd Intl. Conf. on Neural Information Processing Systems (NeurIPS), pp. 15750--15761, 2019. [PDF][Appendix]

C18

Tackling Sequential Attacks in Security Games. By Thanh Nguyen, Amulya Yadav, Branislav Bosansky, Yu Liang. In GameSec-19: Proc. 10th Conference on Decision and Game Theory for Security (Gamesec), pp. 331-351, 2019. [PDF]

M2

Computational Sustainability: Computing for a Better World and a Sustainable Future. By 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. In Communications of the ACM, pp. 56–65, Vol. 6, Issue 9, August 2019. [CACM Article]

C17

Optimizing Peer Referrals for Public Awareness using Contextual Bandits. By Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma. In COMPASS-19: Proc. 2nd Intl. ACM Conf. on Computing & Sustainable Societies (COMPASS), pp. 74-85, 2019. [PDF]

C16

How Gullible Are You? Predicting Susceptibility to Fake News. By Tracy Jia Shen, Robert Cowell, Adita Gupta, Thai Le, Amulya Yadav, Dongwon Lee. In WebSci-19: Proc. 11th Intl. ACM Web Science Conf. (WebSci), pp. 287-288, 2019. [PDF]

C15

Dont Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. By Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe. In AAMAS-19: Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 395-403, 2019. [PDF]

J3

Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness. By Eric Rice, Robin Petering, Amanda Yoshioka-Maxwell, Jaih Craddock, Darlene Woo, Nicole Wilson, Laura Onasch-Vera, Bryan Wilder, Amulya Yadav and Milind Tambe. In JSSWR: Proc. of the Journal of the Society for Social Work and Research, Volume 9, Issue 4, pp. 551-573, 2018. [PDF]

C14

Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. By Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe and Darlene Woo. In IJCAI-18: Proc. 27th International Joint Conference on Artificial Intelligence, pp. 5399-5403, 2018. [PDF]

C13

Please be an influencer? Contingency Aware Influence Maximization. By Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Marcolino and Milind Tambe. In AAMAS-18: Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1423-1432, 2018. [PDF]

C12

Activating the Breakfast Club: Modeling Influence Spread in Natural World Social Networks. By Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice and Milind Tambe. In AAMAS-18: Proc. 17th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1631-1640, 2018. [AAMAS Version | Arxiv Version]

T2

Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. By Amulya Yadav. Ph.D. Thesis, University of Southern California, 2018. Ph.D. Thesis Committee: Prof. Milind Tambe (Ph.D. advisor, USC), Prof. Kristina Lerman (USC), Prof. Aram Galstyan (USC), Prof. Eric Rice (USC), Prof. Dana Goldman (USC). [Thesis]

V1

HEALER: Using AI to Raise HIV Awareness among Homeless Youth. By Amulya Yadav, Eric Rice, Robin Petering, Jaih Craddock, Bryan Wilder and Milind Tambe. In AAAI-17 Video Competition: Proc. 11th AAAI Video Competition, AAAI 2017 [Youtube Video Link]

W4

Explanation Systems for Influence Maximization Algorithms. By Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe and Venil Loyd Noronha. In SocInf-17: Proc. 3rd Intl. Workshop on Social Influence Analysis, 2017. [PDF]

C11

Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. By Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice and Milind Tambe. In AAMAS-17: Proc. 16th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1305-1313, 2017. [PDF]

C10

Influence Maximization in the Field: The Arduous Journey From Emerging to Deployed Application. By Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo. In AAMAS-17: Proc. 16th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 150-158, 2017. Best Paper Nomination at AAMAS-17 Press Coverage: Bloomberg, Vice, Venture Beat, Mashable, EEWorld, OneZero [PDF]

C9

Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. By Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice, Milind Tambe. In IJCAI-17: Proc. 26th International Joint Conference on Artificial Intelligence, pp. 4959-4963, 2017. [PDF]

W3

Robust, Dynamic Influence Maximization. By Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe. In OptMAS-17: Proc. 8th Intl. Workshop on Optimization in Multiagent Systems, 2017. [PDF]

J2

Using Social Networks to Raise HIV Awareness Among Homeless Youth. By Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice and Milind Tambe. In IBM Journal of Research and Development: Volume 61, Issue 6(4), pp. 1-10, 2017. [PDF]

T1

Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities By Amulya Yadav. Ph.D. Thesis Proposal, University of Southern California, 2018. Ph.D. Thesis Committee: Prof. Milind Tambe (Ph.D. advisor, USC), Prof. Kristina Lerman (USC), Prof. Aram Galstyan (USC), Prof. Eric Rice (USC), Prof. Dana Goldman (USC). [Proposal]

W2

POMDPs for Assisting Homeless Shelters: Computational and Deployment Challenges. By Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara Grosz and Milind Tambe. In IDEAS-16: Proc. 2nd Intl. Workshop on Issues with Deployment of Emerging Agent-based Systems, 2016. Most Visionary Paper Award at IDEAS-16 [IDEAS-16 Version | LNCS Special Issue Version]

M1

PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. By Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe and Heather Carmichael. In AI Magazine: 37(2), pp. 47-62, July 2016 [AI Magazine Article]

C8

Simultaneous Influencing and Mapping Social Networks. By Leandro Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav and Milind Tambe. In AAMAS-16: Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1439-1440, 2016. (Short paper) [AAMAS Version | HIAI Workshop Version ]

C7

Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. By Amulya Yadav, Hau Chan, Albert Jiang, Haifeng Xu, Eric Rice and Milind Tambe. In AAMAS-16: Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 740-748, 2016. Best Student Paper Award at AAMAS-16 Press Coverage: CCC Blog, OZY, Next City, Screenshot Media, Engineering & Technology, Phys.org, USC News [PDF]

C6

Protecting the NECTAR of the Ganga River through Game-Theoretic Factory Inspections. By Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld and Milind Tambe. In PAAMS-16: Proc. 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 97-108, 2016. [PDF]

D1

HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth. By Amulya Yadav, Ece Kamar, Barbara Grosz and Milind Tambe. In AAMAS-16: Proc. 15th Intl. Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1504-1506, 2016. [PDF]

J1

An Extended Study on Addressing Defender Teamwork while accounting for Uncertainty in Attacker Defender Games using Iterative Dec-MDPs. By Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. In Multiagent and Grid Systems, Volume 11, Issue 4, pp. 189-226, 2015. [MAGS version]

C5

Making the most of Our Regrets: Regret-based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. By 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. In GameSec-15: Proc. 6th Conference on Decision and Game Theory for Security, pp. 170-191, 2015. [PDF]

C4

Preventing HIV Spread in Homeless Populations using PSINET. By Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe and Heather Carmichael. In IAAI-15: Proc. 27th AAAI Conference on Innovative Applications of Artificial Intelligence, pp. 4006-4011, 2015. [IAAI Version | PlanSOpt-15 Workshop Version | AAAI-16 Spring Symposium Version ]

W1

Handling Payoff Uncertainty with Adversary Bounded Rationality in Green Security Domains. By Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono and Timbul Batubara. In AGT-15: Proc. 1st IJCAI Workshop on Algorithmic Game Theory, 2015. [AGT-15 Version | BECIS-15 Workshop Version ]

C3

Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. By Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham and Milind Tambe. In ECAI-14: Proc. 21st European Conference on Artificial Intelligence, pp. 819-824, 2014. [PDF]

C2

Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. By Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe and Craig Boutilier. In AAAI-14: Proc. 28th AAAI Conference on Artificial Intelligence, pp. 756-762, 2014. [PDF]

C1

Genetic Algorithm Combined with Support Vector Machine for Building an Intrusion Detection System. By Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, and Asif Ekbal. In ICACCI-12: Proc. 1st International Conference on Advances in Computing, Communications & Informatics, pp. 566-572, 2012. [PDF]