Amulya Yadav - RankMe

71 papers A* 19A 13C 1Misc 1Journal 27Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Designing User-Centric Metrics for Evaluation of Counterfactual Explanations. CoRR Firdaus Ahmed Choudhury, Ethan Leicht, Jude Ethan Bislig, Hangzhi Guo, Amulya Yadav
2025	J	`jnl`	Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases. CoRR Bonam Mingole, Aditya Majumdar, Firdaus Ahmed Choudhury, Jennifer Kraschnewski, S. Shyam Sundar, Amulya Yadav
2025	J	`jnl`	Evaluating Large Language Models on Rare Disease Diagnosis: A Case Study using House M.D. CoRR Arsh Gupta, Ajay Narayanan Sridhar, Bonam Mingole, Amulya Yadav
2025	—	`conf`	Have LLMs Reopened the Pandora's Box of AI-Generated Fake News? NAACL (Long Papers) Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav
2025	J	`jnl`	The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities. CoRR Aditya Majumdar, Wenbo Zhang, Kashvi Prawal, Amulya Yadav
2025	—	`conf`	Watermarking Counterfactual Explanations. PRICAI (4) Hangzhi Guo, Firdaus Ahmed Choudhury, Tinghua Chen, Amulya Yadav
2024	J	`jnl`	Code-mixed LLM: Improve Large Language Models' Capability to Handle Code-Mixing through Reinforcement Learning from AI Feedback. CoRR Wenbo Zhang, Aditya Majumdar, Amulya Yadav
2024	J	`jnl`	Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI. CoRR Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav
2024	J	`jnl`	ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX. J. Open Source Softw. Hangzhi Guo, Xinchang Xiong, Wenbo Zhang, Amulya Yadav
2024	J	`jnl`	The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News. CoRR Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav
2024	J	`jnl`	Watermarking Counterfactual Explanations. CoRR Hangzhi Guo, Amulya Yadav
2023	A*	`conf`	A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. AAAI Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav
2023	J	`jnl`	A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. CoRR Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav
2023	A*	`conf`	CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2023	A*	`conf`	KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang
2023	A	`conf`	RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2023	A*	`conf`	epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022	J	`jnl`	A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty. Games Thanh Hong Nguyen, Amulya Yadav
2022	A*	`conf`	Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. IJCAI Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
2022	A*	`conf`	Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. AAAI Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav
2022	J	`jnl`	RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. CoRR Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2022	—	`conf`	The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty? GameSec Thanh Hong Nguyen, Amulya Yadav
2022	A	`conf`	WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. CIKM Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
2022	A*	`conf`	epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2021	A*	`conf`	A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. KDD Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav
2021	A*	`conf`	Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. AAAI Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe
2021	J	`jnl`	CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2021	A*	`conf`	Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. AAAI Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav
2021	A	`conf`	Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic. AAMAS Yu Liang, Amulya Yadav
2021	A*	`conf`	The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2020	J	`jnl`	Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. CoRR Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe
2020	A	`conf`	Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. ECAI Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen
2020	J	`jnl`	Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
2020	A*	`conf`	Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. KDD Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav
2020	A*	`conf`	Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. AAAI Hangzhi Guo, Alexander Woodruff, Amulya Yadav
2020	A*	`conf`	Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. IJCAI Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang
2020	J	`jnl`	Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness. CoRR Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe
2019	J	`jnl`	Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World. CoRR Amulya Yadav
2019	J	`jnl`	Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 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
2019	A	`conf`	Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
2019	A*	`conf`	Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
2019	—	`conf`	How Gullible Are You?: Predicting Susceptibility to Fake News. WebSci Tracy Jia Shen, Robert Cowell, Aditi Gupta, Thai Le, Amulya Yadav, Dongwon Lee
2019	J	`jnl`	Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities. CoRR Amulya Yadav
2019	C	`conf`	Optimizing peer referrals for public awareness using contextual bandits. COMPASS Ramaravind Kommiya Mothilal, Amulya Yadav, Amit Sharma
2019	—	`conf`	Tackling Sequential Attacks in Security Games. GameSec Thanh Hong Nguyen, Amulya Yadav, Branislav Bosanský, Yu Liang
2018	A	`conf`	Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
2018	A*	`conf`	Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. IJCAI Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo
2018	A	`conf`	Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe
2017	J	`jnl`	Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
2017	—	`conf`	Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
2017	A	`conf`	Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. AAMAS Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo
2017	A*	`conf`	Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. IJCAI Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2017	J	`jnl`	Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 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
2017	A	`conf`	Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe
2017	J	`jnl`	Using social networks to raise HIV awareness among homeless youth. IBM J. Res. Dev. Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Robin Petering, Milind Tambe
2016	A	`conf`	HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016	—	`conf`	POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016	J	`jnl`	PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
2016	J	`jnl`	Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing. CoRR Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Amulya Yadav, Milind Tambe
2016	Misc	`conf`	Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe
2016	A	`conf`	Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
2016	—	`conf`	Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
2016	J	`jnl`	Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty - An Extended Version. CoRR Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2016	A	`conf`	Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. AAMAS Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2015	J	`jnl`	An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs. Multiagent Grid Syst. Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe
2015	—	`conf`	Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec 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
2015	A*	`conf`	Preventing HIV Spread in Homeless Populations Using PSINET. AAAI Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
2014	A*	`conf`	Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
2014	A	`conf`	Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe
2012	—	`conf`	Genetic algorithm combined with support vector machine for building an intrusion detection system. ICACCI Sriparna Saha, Ashok Singh Sairam, Amulya Yadav, Asif Ekbal
2009	J	`jnl`	Measuring design complexity: an inherited method perspective. ACM SIGSOFT Softw. Eng. Notes Amulya Yadav, R. A. Khan