Publications by authors named "Christopher De Sa"

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QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.
Albert Tseng, Jerry Chee, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa

Proc Mach Learn Res· July 2024

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ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers.
Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov

Transact Mach Learn Res· February 2024

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QuIP: 2-Bit Quantization of Large Language Models With Guarantees.
Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher De Sa

Adv Neural Inf Process Syst· December 2023

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A Kernel Theory of Modern Data Augmentation.
Tri Dao, Albert Gu, Alexander J Ratner, Virginia Smith, Christopher De Sa

Proc Mach Learn Res· June 2019

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A two-pronged progress in structured dense matrixvector multiplication.
Christopher De Sa, Albert Gu, Rohan Puttagunta, Christopher Ré, Atri Rudra

Proc Annu ACM SIAM Symp Discret Algorithms· January 2018

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Representation Tradeoffs for Hyperbolic Embeddings.
Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala

Proc Mach Learn Res· January 2018

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Accelerated Stochastic Power Iteration.
Christopher De Sa, Bryan He, Ioannis Mitliagkas, Christopher Ré, Peng Xu

Proc Mach Learn Res· January 2018

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Gaussian Quadrature for Kernel Features.
Tri Dao, Christopher De Sa, Christopher Ré

Adv Neural Inf Process Syst· December 2017

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Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent.
Christopher De Sa, Matthew Feldman, Christopher Ré, Kunle Olukotun

Proc Int Symp Comput Archit· June 2017

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Data Programming: Creating Large Training Sets, Quickly.
Alexander Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré

Adv Neural Inf Process Syst· December 2016

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DeepDive: Declarative Knowledge Base Construction.
Christopher De Sa, Alex Ratner, Christopher Ré, Jaeho Shin, Feiran Wang

SIGMOD Rec· March 2016

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Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much.
Bryan He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré

Adv Neural Inf Process Syst· January 2016

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Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling.
Christopher De Sa, Kunle Olukotun, Christopher Ré

JMLR Workshop Conf Proc· January 2016

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Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width.
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré

Adv Neural Inf Process Syst· December 2015

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Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms.
Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré

Adv Neural Inf Process Syst· December 2015

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Incremental Knowledge Base Construction Using DeepDive.
Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang

Proceedings VLDB Endowment· July 2015

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