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ORCIDAmulya Yadav
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- affiliation: IIT Patna, India
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Journal Articles
- 2022
[j7]Thanh Hong Nguyen, Amulya Yadav:
A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. Games 13(6): 81 (2022)- 2019
- [j6]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) - 2017
- [j5]Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav:
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38(4): 99-106 (2017) - [j4]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Robin Petering, Milind Tambe:
Using social networks to raise HIV awareness among homeless youth. IBM J. Res. Dev. 61(6): 4:1-4:10 (2017) - 2016
- [j3]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 37(2): 47-62 (2016) - 2015
- [j2]Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs. Multiagent Grid Syst. 11(4): 189-226 (2015) - 2009
- [j1]Amulya Yadav, R. A. Khan:
Measuring design complexity: an inherited method perspective. ACM SIGSOFT Softw. Eng. Notes 34(4): 1-5 (2009)
Conference and Workshop Papers
- 2023
- [c42]Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav:
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. AAAI 2023: 14620-14627 - [c41]Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav:
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM 2023: 619-628 - [c40]Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD 2023: 577-589 - [c39]Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2023: 5847-5848 - [c38]Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang:
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD 2023: 5895-5896 - 2022
- [c37]Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav:
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. AAAI 2022: 12608-12614 - [c36]Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee:
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. CIKM 2022: 3514-3523 - [c35]Thanh Hong Nguyen, Amulya Yadav:
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec 2022: 3-22 - [c34]Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee:
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. IJCAI 2022: 5178-5184 - [c33]Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2022: 4850-4851 - 2021
- [c32]Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav:
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. AAAI 2021: 14748-14756 - [c31]Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. AAAI 2021: 14948-14956 - [c30]Yu Liang, Amulya Yadav:
Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. AAMAS 2021: 790-798 - [c29]Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav:
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. KDD 2021: 3595-3604 - [c28]Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash:
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD 2021: 4104-4105 - 2020
- [c27]Hangzhi Guo, Alexander Woodruff, Amulya Yadav:
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. AAAI 2020: 13294-13299 - [c26]Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen:
Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI 2020: 179-186 - [c25]Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang:
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. IJCAI 2020: 4389-4395 - [c24]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. KDD 2020: 3092-3100 - 2019
- [c23]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 - [c22]Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma:
Optimizing peer referrals for public awareness using contextual bandits. COMPASS 2019: 74-85 - [c21]Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang:
Tackling Sequential Attacks in Security Games. GameSec 2019: 331-351 - [c20]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS 2019: 15750-15761 - [c19]Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee:
How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci 2019: 287-288 - 2018
- [c18]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [c17]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS 2018: 1631-1639 - [c16]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. IJCAI 2018: 5399-5403 - 2017
- [c15]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. AAMAS 2017: 150-158 - [c14]Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe:
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS 2017: 1305-1313 - [c13]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - [c12]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. IJCAI 2017: 4959-4963 - 2016
- [c11]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c10]Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe:
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) 2016: 67-87 - [c9]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. AAMAS 2016: 740-748 - [c8]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS 2016: 1439-1440 - [c7]Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe:
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS 2016: 1504-1506 - [c6]Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe:
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS 2016: 97-108 - 2015
- [c5]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
Preventing HIV Spread in Homeless Populations Using PSINET. AAAI 2015: 4006-4011 - [c4]Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba:
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec 2015: 170-191 - 2014
- [c3]Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier:
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI 2014: 756-762 - [c2]Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI 2014: 819-824 - 2012
- [c1]Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, Asif Ekbal:
Genetic algorithm combined with support vector machine for building an intrusion detection system. ICACCI 2012: 566-572
Informal and Other Publications
- 2024
- [i12]Hangzhi Guo, Amulya Yadav:
Watermarking Counterfactual Explanations. CoRR abs/2405.18671 (2024) - 2023
- [i11]Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav:
A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. CoRR abs/2311.04345 (2023) - 2022
- [i10]Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav:
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. CoRR abs/2206.00700 (2022) - 2021
- [i9]Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR abs/2109.07557 (2021) - 2020
- [i8]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR abs/2006.06865 (2020) - [i7]Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe:
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness. CoRR abs/2007.07747 (2020) - [i6]Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. CoRR abs/2009.09559 (2020) - 2019
- [i5]Amulya Yadav:
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. CoRR abs/1912.02102 (2019) - [i4]Amulya Yadav:
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities. CoRR abs/1912.02105 (2019) - 2017
- [i3]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR abs/1710.00364 (2017) - 2016
- [i2]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty - An Extended Version. CoRR abs/1602.00165 (2016) - [i1]Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Amulya Yadav, Milind Tambe:
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing. CoRR abs/1608.05701 (2016)
Coauthor Index
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