Christopher De Sa

Venues

Frequent coauthors

Papers

1. Compute-Optimal LLMs Provably Generalize Better with Scale
   ICLR 2025 ·

   Marc Anton Finzi

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2. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
   NeurIPS 2025 ·

   A. Feder Cooper

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3. Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
   ICLR 2025 ·

   Wentao Guo

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4. Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
   AAAI 2024 ·

   A. Feder Cooper

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5. Diffusion Models With Learned Adaptive Noise
   NeurIPS 2024 ·

   Subham S. Sahoo

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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

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7. QTIP: Quantization with Trellises and Incoherence Processing
   NeurIPS 2024 ·

   Albert Tseng

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8. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
   ICML 2024 ·

   Albert Tseng

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9. Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
   NeurIPS 2024 ·

   Andres Potapczynski

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10. Shadow Cones: A Generalized Framework for Partial Order Embeddings
    ICLR 2024 ·

    Tao Yu

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