Accepted Papers

Poster session AM (9am-10am PST:

Only AM:

• 4 Large-scale Open Dataset and Pipeline for Bandit Algorithms. Yuta Saito, Shunsuke Aihara, Megumi Matsutani, Yusuke Narita. Video
• 20 Performative Prediction in a Stateful World. Gavin Brown, Shlomi Hod, Iden Kalemaj.
• 6 Learning to Personalize Treatments When Agents Are Strategic. Evan Munro. Video
• 7 Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies. Kshitij Kulkarni, Sven Neth.
• 8 How do fair decisions fare in long-term qualification? Xueru Zhang, Ruibo Tu, Yang Liu, Hedvig Kjellström, Mingyan Liu, Kun Zhang, Cheng Zhang. Video
• 15 Algorithmic Recourse: from Counterfactual Explanations to Interventions. Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera. Video
• 18 Exploration in two-stage recommender systems. Jiri Hron, Karl Krauth, Michael Jordan, Niki Kilbertus. Video
• 21 Rankings for Two-Sided Market Platforms. Yi Su, Thorsten Joachims.
• 22 Near-optimal inference in adaptive linear regression. Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin Wainwright.
• 28 Strategic Recourse in Linear Classification. Yatong Chen, Jialu Wang, Yang Liu.
• 29 Label Bias, Label Shift: Fair Machine Learning with Unreliable Labels. Jessica Dai, Sarah M Brown.

(Both)

• 5 Optimal Policies for the Homogeneous Selective Labels Problem. Dennis Wei.
• 10 Classification under Human Assistance. Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez.

Poster session PM (2:45PM-3:45 PST):

Only PM:

• 12 Do Offline Metrics Predict Online Performance in Recommender Systems? Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael Jordan.
• 27 Echo Chambers in Collaborative Filtering Based Recommendation Systems. Emil Noordeh, Roman Levin, Ruochen Jiang, Harris Shadmany.
• 17 Fairness Under Partial Compliance. Jessica Dai, Sina Fazelpour, Zachary Lipton.

(Both)

• 24 Understanding and Measuring Income Shocks as a Precursors to Poverty. Rediet Abebe, Jon Kleinberg, Andrew Wang.
• 25 Evaluating Model Robustness to Dataset Shift. Adarsh Subbaswamy, Roy Adams, Suchi Saria.
• 23 Optimizing Long-term Social Welfare in Recommender Systems. Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier.
• 11 Rebounding Bandits for Modeling Satiation Effects. Liu Leqi, Fatma Kilinc-Karzan, Alan Montgomery, Zachary Lipton.
• 14 Bandit Data-driven Optimization: AI for Social Good and Beyond. Zheyuan Ryan Shi, Steven Wu, Rayid Ghani, Fei Fang.
• 16 Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. Kathleen Donahue, Solon Barocas.