Shresth Verma

33 papers A* 10A 3Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Preference Robustness for DPO with Applications to Public Health.
AAAI
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 J jnl
Lightweight Robust Direct Preference Optimization.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 J jnl
Measuring Fairness in Financial Transaction Machine Learning Models.
CoRR
Deniz Sezin Ayvaz, Lorenzo Belenguer, Hankun He, Deborah Dormah Kanubala, Mingxu Li, Soung Low, Carlos Mougan, Faithful Chiagoziem Onwuegbuche, Yulu Pi, Natalia Sikora, Dan Tran, Shresth Verma, Hanzhi Wang, Skyler Xie, Adeline Pelletier
2025 A* conf
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning.
ICML
Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025 J jnl
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning.
CoRR
Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025 A* conf
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning.
AAAI
Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe
2025 J jnl
Preference Robustness for DPO with Applications to Public Health.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2024 — conf
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.
GameSec (1)
Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024 J jnl
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.
CoRR
Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024 A conf
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits.
UAI
Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe
2024 A* conf
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
AAAI
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
CoRR
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Leveraging AI to improve health information access in the World's largest maternal mobile health program.
AI Mag.
Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2023 J jnl
Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation.
CoRR
Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja
2023 J jnl
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits.
CoRR
Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe
2023 J jnl
Expanding impact of mobile health programs: SAHELI for maternal and child care.
AI Mag.
Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja
2023 A* conf
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care.
AAAI
Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja
2023 A* conf
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.
IJCAI
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
2023 J jnl
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.
CoRR
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
2023 A conf
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning.
AAMAS
Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe
2023 A* conf
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.
AAAI
Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe
2023 A* conf
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health.
AAAI
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2022 J jnl
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain.
CoRR
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2022 A* conf
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health.
AAAI
Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2021 J jnl
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health.
CoRR
Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2021 A conf
Towards Sample Efficient Learners in Population based Referential Games through Action Advising.
AAMAS
Shresth Verma
2020 — conf
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots.
COMAD/CODS
Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla
2020 A* conf
Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract).
AAAI
Shresth Verma, Joydip Dhar
2020 — conf
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments.
COMAD/CODS
K. V. Arya, Shresth Verma, Raj Kuwar Gupta, Soumya Agarwal, Prince Gupta
2020 J jnl
SunPy: A Python package for Solar Physics.
J. Open Source Softw.
Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray
2019 J jnl
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots.
CoRR
Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla
2019 J jnl
Emergence of Writing Systems Through Multi-Agent Cooperation.
CoRR
Shresth Verma, Joydip Dhar
2019 J jnl
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments.
CoRR
Raj Kuwar Gupta, Shresth Verma, K. V. Arya, Soumya Agarwal, Prince Gupta