* denotes equal contribution.

  • Automated Detection of Underconstrained Circuits for Zero-Knowledge Proofs (pdf)

    Shankara Pailoor, Yanju Chen, Franklyn Wang, Clara Rodriguez, Jacob Van Geffen, Jason Morton, Michael Chu, Brian Gu, Yu Feng, Isil Dillig.

    ACM Conference on Programming Language Design and Implementation (PLDI), 2023

  • 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

    Climate Change in AI Workshop @ ICML, 2021 (Spotlight); NeurIPS, 2023

  • Recommending with Recommendations (pdf)

    Naveen Durvasula*, Franklyn Wang*, Scott Duke Kominers.

    Marketplace Innovation Workshop (Oral), 2022

  • Intrinsic Gradient Compression for Federated Learning (pdf)

    Luke Melas-Kyriazi*, Franklyn Wang*.

    Federated Learning for NLP Workshop @ ACL, 2022

  • Putting the “Learning” into Learning-Augmented Algorithms for Frequency Estimation (pdf) (code)

    Elbert Du*, Franklyn Wang*, Michael Mitzenmacher.

    ICML, 2021

  • Generalization by Recognizing Confusion (pdf) (code)

    Daniel Chiu*, Franklyn Wang*, Scott Duke Kominers.

    arXiv, 2020

  • 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

  • Respect for Improvements via Matching with Contracts (pdf)

    Franklyn Wang, Scott Duke Kominers