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Amulya Yadav
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- affiliation: IIT Patna, India
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2020 – today
- 2024
- [i12]Hangzhi Guo, Amulya Yadav:
Watermarking Counterfactual Explanations. CoRR abs/2405.18671 (2024) - 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
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM 2023: 619-628 - [c40]Hangzhi Guo
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. KDD 2023: 577-589 - [c39]Bijaya Adhikari
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2023: 5847-5848 - [c38]Amulya Yadav
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD 2023: 5895-5896 - [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
- [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) - [c37]Maryam Tabar, Dongwon Lee
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 - [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
- [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 - [i9]Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Counterfactual Aware Predictions. CoRR abs/2109.07557 (2021) - 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
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
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. KDD 2020: 3092-3100 - [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)
2010 – 2019
- 2019
- [j6]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (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 - [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) - 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
- [j5]Jeannette Bohg
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) - [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 - [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
- [j3]Amulya Yadav, Leandro Soriano Marcolino
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 37(2): 47-62 (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
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS 2016: 97-108 - [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) - 2015
- [j2]Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham
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) - [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
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI 2014: 819-824 - 2012
- [c1]Sriparna Saha, Ashok Singh Sairam
Genetic algorithm combined with support vector machine for building an intrusion detection system. ICACCI 2012: 566-572
2000 – 2009
- 2009
- [j1]Amulya Yadav, R. A. Khan:
Measuring design complexity: an inherited method perspective. ACM SIGSOFT Softw. Eng. Notes 34(4): 1-5 (2009)
Coauthor Index
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