Milind Tambe

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