PPaperPicks

Christopher De Sa

10 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4ICLR ×3AAAI ×1ICML ×1MLSys ×1

Frequent coauthors

Albert Tseng
×3
Marc Finzi
×2
Andrew Gordon Wilson
×2
A. Feder Cooper
×2
James Grimmelmann
×2
Solon Barocas
×2
Katherine Lee
×2
Volodymyr Kuleshov
×2
Qingyao Sun
×2
Sanyam Kapoor
×1
Diego Granziol
×1
Anming Gu
×1

Papers

  1. Compute-Optimal LLMs Provably Generalize Better with Scale
    ICLR 2025 ·
    Marc Anton Finzi
    ,
    Sanyam Kapoor
    ,
    Diego Granziol
    ,
    Anming Gu
    , Christopher De Sa,
    J. Zico Kolter
    ,
    Andrew Gordon Wilson
  2. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
    NeurIPS 2025 ·
    A. Feder Cooper
    ,
    Christopher A. Choquette-Choo
    ,
    Miranda Bogen
    ,
    Kevin Klyman
    ,
    Matthew Jagielski
    ,
    Katja Filippova
    ,
    Ken Liu
    ,
    Alexandra Chouldechova
    ,
    Jamie Hayes
    ,
    Yangsibo Huang
    ,
    Eleni Triantafillou
    ,
    Peter Kairouz
    ,
    Nicole Mitchell
    ,
    Niloofar Mireshghallah
    ,
    Abigail Z. Jacobs
    ,
    James Grimmelmann
    ,
    Vitaly Shmatikov
    , Christopher De Sa,
    Ilia Shumailov
    ,
    Andreas Terzis
    ,
    Solon Barocas
    ,
    Jennifer Wortman Vaughan
    ,
    danah boyd
    ,
    Yejin Choi
    ,
    Sanmi Koyejo
    ,
    Fernando A. Delgado
    ,
    Percy Liang
    ,
    Daniel E. Ho
    ,
    Pamela Samuelson
    ,
    Miles Brundage
    ,
    David Bau
    ,
    Seth Neel
    ,
    Hanna M. Wallach
    ,
    Amy Cyphert
    ,
    Mark A. Lemley
    ,
    Nicolas Papernot
    ,
    Katherine Lee
  3. Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
    ICLR 2025 ·
    Wentao Guo
    ,
    Jikai Long
    ,
    Yimeng Zeng
    ,
    Zirui Liu
    ,
    Xinyu Yang
    ,
    Yide Ran
    ,
    Jacob R. Gardner
    ,
    Osbert Bastani
    , Christopher De Sa,
    Xiaodong Yu
    ,
    Beidi Chen
    ,
    Zhaozhuo Xu
  4. Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
    AAAI 2024 ·
    A. Feder Cooper
    ,
    Katherine Lee
    ,
    Madiha Zahrah Choksi
    ,
    Solon Barocas
    , Christopher De Sa,
    James Grimmelmann
    ,
    Jon M. Kleinberg
    ,
    Siddhartha Sen
    ,
    Baobao Zhang
  5. Diffusion Models With Learned Adaptive Noise
    NeurIPS 2024 ·
    Subham S. Sahoo
    ,
    Aaron Gokaslan
    , Christopher De Sa,
    Volodymyr Kuleshov
  6. Proceedings of the Seventh Annual Conference on Machine Learning and Systems, MLSys 2024, Santa Clara, CA, USA, May 13-16, 2024
    MLSys 2024 ·
    Phillip B. Gibbons
    ,
    Gennady Pekhimenko
    , Christopher De Sa
  7. QTIP: Quantization with Trellises and Incoherence Processing
    NeurIPS 2024 ·
    Albert Tseng
    ,
    Qingyao Sun
    ,
    David Hou
    , Christopher De Sa
  8. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
    ICML 2024 ·
    Albert Tseng
    ,
    Jerry Chee
    ,
    Qingyao Sun
    ,
    Volodymyr Kuleshov
    , Christopher De Sa
  9. Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
    NeurIPS 2024 ·
    Andres Potapczynski
    ,
    Shikai Qiu
    ,
    Marc Finzi
    ,
    Christopher Ferri
    ,
    Charlie Chen
    ,
    Micah Goldblum
    ,
    C. Bayan Bruss
    , Christopher De Sa,
    Andrew Gordon Wilson
  10. Shadow Cones: A Generalized Framework for Partial Order Embeddings
    ICLR 2024 ·
    Tao Yu
    ,
    Toni J. B. Liu
    ,
    Albert Tseng
    , Christopher De Sa