Amulya Yadav

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 54

Top Topics

Social Networks

Influence Maximization

Preference Elicitation

Top Venues

Publications

Hangzhi Guo, Amulya Yadav
Watermarking Counterfactual Explanations. CoRR (2024)
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM (2023)
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)
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)
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD (2023)
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 (2023)
Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD (2023)
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)
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)
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)
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) (2022)
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)
Thanh Hong Nguyen, Amulya Yadav
The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec (2022)
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. CoRR (2022)
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)
Bryan Wilder, Laura Onasch-Vera, Graham 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)
Yu Liang, Amulya Yadav
Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. AAMAS (2021)
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)
Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. AAAI (2021)
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR (2021)
Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen
Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI (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. KDD (2020)
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 (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. IJCAI (2020)
Hangzhi Guo, Alexander Woodruff, Amulya Yadav
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. AAAI (2020)
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR (2020)
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 (2020)
Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma
Optimizing peer referrals for public awareness using contextual bandits. COMPASS (2019)
Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang
Tackling Sequential Attacks in Security Games. GameSec (2019)
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) (2019)
Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee
How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci (2019)
Amulya Yadav
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. CoRR (2019)
Amulya Yadav
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities. CoRR (2019)
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS (2019)
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)
Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS (2018)
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS (2018)
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)
Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI (2017)
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR (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. AAMAS (2017)
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) (2017)
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) (2017)
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)
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS (2017)
Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS (2016)
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 (2016)
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS (2016)
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) (2016)
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)
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)
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)
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 (2016)
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)
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) (2015)
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)
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)
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)
Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI (2014)
Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, Asif Ekbal
Genetic algorithm combined with support vector machine for building an intrusion detection system. ICACCI (2012)
Amulya Yadav, R. A. Khan
Measuring design complexity: an inherited method perspective. ACM SIGSOFT Softw. Eng. Notes 34 (4) (2009)