Conference Publications

  1. Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
    Tian Jin*, Ellie Y. Cheng*, Zack Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin. International Conference on Machine Learning (ICML), 2025.

    BibTex 
    @inproceedings{jin2025promise,
    author    = {Jin, Tian and Cheng, Ellie Y. and Ankner, Zack and Saunshi, Nikunj and Elias, Blake M. and Yazdanbakhsh, Amir and Ragan-Kelley, Jonathan and Subramanian, Suvinay and Carbin, Michael},
    title     = {Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding},
    booktitle = {International Conference on Machine Learning},
    year    = {2025},
}

  2. Inference Plans for Hybrid Probabilistic Inference. Ellie Y. Cheng, Eric Atkinson, Guillaume Baudart, Louis Mandel, Michael Carbin. Principles of Programming Languages (POPL), 2025.

    arXiv

    BibTex 
    @inproceedings{cheng2025inference,
    author    = {Cheng, Ellie Y. and Atkinson, Eric and Baudart, Guillaume and Mandel, Louis and Carbin, Michael},
    title     = {Inference Plans for Hybrid Particle Filtering},
    booktitle = {Principles of Programming Languages},
    year    = {2025},
}

  3. How Can I Explain This To You? An Empirical Study of Deep Neural Network Explanation Methods. Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng, Luis Garcia, Mani Srivastava. Advances in Neural Information Processing Systems, 2020.

    BibTex 
    @inproceedings{JeyakumarNeurIPS20,
    author    = {Jeyakumar, Jeya Vikranth and Noor, Joseph and Cheng, Yu-Hsi and Garcia, Luis and Srivastava, Mani},
    title     = {How can i explain this to you? an empirical study of deep neural network explanation methods},
    booktitle = {Advances in Neural Information Processing Systems},
    year    = {2020},
}

Non-Archival Publications

  1. Verifying Performance Properties of Probabilistic Inference. Eric Atkinson, Ellie Y. Cheng, Guillaume Baudart, Louis Mandel, Michael Carbin. The Workshop on Verification of Probabilistic Programs (VeriProP), 2023.

    BibTex 
    @inproceedings{AtkinsonVeriProP23,
    author    = {Atkinson, Eric and Cheng, Ellie Y. and Baudart, Guillaume and Mandel, Louis and Carbin, Michael},
    title     = {Verifying Performance Properties of Probabilistic Inference},
    booktitle = {The Workshop on Verification of Probabilistic Programs},
    year      = {2023},
}

  2. flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs. Yu-Hsi Cheng, Todd Millstein, Guy Van den Broeck, Steven Holtzen. International Conference on Probabilistic Programming (PROBPROG), 2021.

    Extended Draft

    BibTex 
    @inproceedings{ChengPROBPROG21,
    author    = {Cheng, Yu-Hsi and Millstein, Todd and Van den Broeck, Guy and Holtzen, Steven},
    title     = {flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs},
    booktitle = {International Conference on Probabilistic Programming},
    year      = {2021},
}