Papers
- denotes equal contribution.
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Respect for Improvements via Matching with Contracts (pdf)
Franklyn Wang, Scott Duke Kominers
Submitted.
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An Accurate and Scalable Subseasonal Forecasting Toolkit for the United States (pdf)
Soukayna Mouatadid, Paulo Orenstein, Franklyn Wang, Judah Cohen, Genevieve Flaspohler, Ernest Fraenkel, Lester Mackey, Miruna Oprescu
Updated Version: (pdf)
Climate Change in AI Workshop @ ICML, 2021 (Spotlight)
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Intrinsic Gradient Compression Algorithms for Federated Learning (pdf)
Luke Melas-Kyriazi*, Franklyn Wang*.
Proceedings of the First Workshop on Federated Learning for Natural Language Processing, 2022
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Recommending with Recommendations (pdf)
Naveen Durvasula*, Franklyn Wang*, Scott Duke Kominers.
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Putting the “Learning” into Learning-Augmented Algorithms for Frequency Estimation (pdf) (code)
Elbert Du*, Franklyn Wang*, Michael Mitzenmacher.
ICML, 2021
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Generalization by Recognizing Confusion (pdf) (code)
Daniel Chiu*, Franklyn Wang*, Scott Duke Kominers.
arXiv, 2020
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Optimizing reserves in school choice: A dynamic programming approach (pdf)
Franklyn Wang, Ravi Jagadeesan, Scott Duke Kominers.
Operations Research Letters 47 (5), 438-446, 2019