← Authors

Milind Tambe

78 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (12) 🏠 Conference Loyalist (27) 🀝 Dynamic Duo (18) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (17) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (8) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (286) πŸ’Ž Century Club (74)

Conferences

AAAI (31) IJCAI (23) NIPS (9) UAI (8) ICML (4) ICLR (1) MLHC (1) WACV (1)

Top co-authors

Aparna Taneja (18) Bryan Wilder (15) Lily Xu (11) Andrew Perrault (11) Shresth Verma (10) Kai Wang (10) Fei Fang (8) Eric Rice (7) Bistra Dilkina (7) Aditya Mate (7)

Research topics

Optimization (1)

Keywords

restless multi-armed bandit (15) resource allocation (14) decision-focused learning (6) social network (6) influence maximization (6) public health (6) maternal health (5) markov decision process (5) reinforcement learning (4) healthcare intervention (4) whittle index (4) combinatorial optimization (4) robust optimization (4) game theory (4) mobile health (3) large language model (3) security game (3) minimax regret (3) multi-armed bandit (3) health intervention (3)

Papers

VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping AAAI 2026
Preference Robustness for DPO with Applications to Public Health AAAI 2026
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget AAAI 2026
Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction AAAI 2026
What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025
Robust Optimization with Diffusion Models for Green Security UAI 2025
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach AAAI 2025
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health MLHC 2025
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning AAAI 2025
Evaluating Index-based Treatment Allocation in Underresourced Communities AAAI 2025
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning ICML 2025
Reinforcement learning with combinatorial actions for coupled restless bandits ICLR 2025
The Bandit Whisperer: Communication Learning for Restless Bandits AAAI 2025
Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health NIPS 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them NIPS 2024
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits UAI 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization IJCAI 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making ICML 2024
Position: Application-Driven Innovation in Machine Learning ICML 2024
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats IJCAI 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care AAAI 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023
Complex Contagion Influence Maximization: A Reinforcement Learning Approach IJCAI 2023
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning UAI 2022
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NIPS 2022
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health AAAI 2022
Micronutrient Deficiency Prediction via Publicly Available Satellite Data AAAI 2022
Using Public Data to Predict Demand for Mobile Health Clinics AAAI 2022
Facilitating Human-Wildlife Cohabitation through Conflict Prediction AAAI 2022
Evolutionary Approach to Security Games with Signaling IJCAI 2022
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria IJCAI 2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation IJCAI 2022
Solving structured hierarchical games using differential backward induction UAI 2022
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness AAAI 2021
Fair Influence Maximization: a Welfare Optimization Approach AAAI 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021
Contingency-aware influence maximization: A reinforcement learning approach UAI 2021
Robust reinforcement learning under minimax regret for green security UAI 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos WACV 2020
Collapsing Bandits and Their Application to Public Health Intervention NIPS 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
MIPaaL: Mixed Integer Program as a Layer AAAI 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games AAAI 2020
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020
Robust Spatial-Temporal Incident Prediction UAI 2020
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019
End to end learning and optimization on graphs NIPS 2019
Group-Fairness in Influence Maximization IJCAI 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems NIPS 2019
On the Inducibility of Stackelberg Equilibrium for Security Games AAAI 2019
Near Real-Time Detection of Poachers from Drones in AirSim IJCAI 2018
The Price of Usability: Designing Operationalizable Strategies for Security Games IJCAI 2018
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth IJCAI 2018
Stackelberg Security Games: Looking Beyond a Decade of Success IJCAI 2018
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources IJCAI 2017
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts IJCAI 2017
Three Strategies to Success: Learning Adversary Models in Security Games IJCAI 2016
Security Games with Information Leakage: Modeling and Computation IJCAI 2015
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing IJCAI 2015
Diverse Randomized Agents Vote to Win NIPS 2014
Defender (Mis)Coordination in Security Games IJCAI 2013
Efficiently Solving Joint Activity Based Security Games IJCAI 2013
Scaling-Up Security Games with Boundedly Rational Adversaries: A Cutting-Plane Approach IJCAI 2013
Multi-Agent Team Formation: Diversity Beats Strength? IJCAI 2013