| 1 |
- Kube, Amanda, Sanmay Das, and Patrick J. Fowler. "Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services.", AAAI 2019
- Ackermann, Klaus, et al. "Deploying Machine Learning Models for Public Policy: A Framework." Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018.
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| 2 |
- Yadav, Amulya, et al. "Influence maximization in the field: The arduous journey from emerging to deployed application." Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems. AAMAS 2017.
- Optional: Lipton, Zachary. "The Mythos of Model Interpretability" Arxiv version.
- Optional: Finale Doshi-Velez, Been Kim. "Towards A Rigorous Science of Interpretable Machine Learning" Arxiv version.
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| 3 |
- Kumar, Avishek, et al. "Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks." SIGKDD 2018.
- Kar, Debarun et al. "Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data", AAMAS 2017
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| 4 |
- Selbst, Andrew, et al. "Fairness and Abstraction in Sociotechnical Systems." ACM Conference on Fairness, Accountability, and Transparency (FAT*) 2018
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| 5 |
- No Papers this Week! Lectures this week will cover Decision Theory and Computational Game Theory!
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| 6 |
- Class Canceled Due to Snow
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- Erika Salomon, et al. "Reducing Incarceration through Prioritized Interventions." SIGKDD 2017.
- Garren Gaut et al. "Improving Government Response to Citizen Requests Online", COMPASS 2018
- Eric Potash et al. "Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning." KDD 2015.
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| 7 |
- No Papers this Week! Lectures this week will cover Neural Networks and Deep Learning!
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| 8 |
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- Fred Sun Lu et al. "Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis" JMIR 2018.
- Neal Jean et al. "Combining satellite imagery and machine learning to predict poverty", Science 2016
- Jiaxuan You et al. "Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data." AAAI 2017.
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| 9 |
- Guest Lecture by Prof. Saeed Abdullah on Data science methods for Novel Assessment and Intervention Methods to support adolescent mental health.
- Manish Jain et al. "Deployed ARMOR Protection: The Application of a Game Theoretic Model for Security at the Los Angeles International Airport." AAMAS 2007.
- Christopher Kiekinveldt et al. "Computing Optimal Randomized Resource Allocations for Massive Security Games", AAMAS 2009
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| 10 |
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| 11 |
- Guest Lecture by Prof. Fei Fang from Carnegie Mellon University on Integrating Learning with Game Theory for Societal Challenges.
- No Papers this Week! Lectures this week will cover MDPs and POMDPs!
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| 12 |
- Guest Lecture by Prof. Matthew Ferrari from Center of Infectious Disease and Dynamics, Penn State University on Modeling Measles Dynamics in Developing Countries.
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- Benjamin Ford et al. "Protecting the NECTAR of the Ganga River through Game-Theoretic Factory Inspections, PAAMS 2016.
- Jason Tsai et al. "IRIS - A Tool for Strategic Security Allocation in Transportation Networks", AAMAS 2009
- Zahra Ashktorab et al. "Tweedr: Mining Twitter to Inform Disaster Response." ISCRAM 2014.
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| 13 |
- No papers this week! Lecture will cover submodular optimization and influence maximization!
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- Eric Shieh et al. "PROTECT: A Deployed Game Theoretic System to Protect the Ports of the United States", AAMAS 2012.
- Matthew Brown et al. "STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation", IAAI 2014
- William Haskell et al. "Robust protection of fisheries with COmPASS" IAAI 2014.
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| 14 |
- Yadav, Amulya et al. "Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty." AAMAS 2016.
- Wilder, Bryan et al. "Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network", AAMAS 2017
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- Stefano Ermon et al. "Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa", AAAI 2015.
- Stefano Ermon et al. "Learning policies for battery usage optimization in electric vehicles", Journal of Machine Learning
- Brown, Matthew et al. "One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats" AAAI 2016.
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| 15 |
- No papers this week! Lecture will cover Online Learning and Multi Armed Bandits!
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- Bryan Wilder et al. "Controlling Elections through Social Influence" AAMAS 2018.
- Bryan Wilder et al. "End-to-End Influence Maximization in the Field", AAMAS 2018
- Amulya Yadav et al. "Please be an Influencer? Contingency-Aware Influence Maximization" AAMAS 2018.
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| 16 |
- No papers this week! Lecture will cover material on Natural Language Processing and applications!
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- Thomas Dietterich et al. "PAC Optimal Planning for Invasive Species Management: Improved Exploration
for Reinforcement Learning from Simulator-Defined MDPs" AAAI 2014.
- Ronan Le Bras et al. "Robust Network Design for Multispecies Conservation", AAAI 2013.
- Bryan Wilder et al. "Defending Elections Against Malicious Spread of Misinformation" AAAI 2019.
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| 16 |
- Last Week of Class! No papers!
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- Final Project Presentations Due
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