Christopher De Sa
30 papers · 2015–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Christopher De Sa?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yucheng Lu, Christopher Re, Kunle Olukotun
13 papers
· 2015–2025
· ICML, ICLR, JMLR
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Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
ICLR 2025
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
ICML 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements
JMLR 2023
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
ICLR 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
ICML 2023
A General Analysis of Example-Selection for Stochastic Gradient Descent
ICLR 2022
Optimal Complexity in Decentralized Training
ICML 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models
ICML 2021
Moniqua: Modulo Quantized Communication in Decentralized SGD
ICML 2020
Accelerated Stochastic Power Iteration
AISTATS 2018
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
IJCAI 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
ICML 2016
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
ICML 2015
5 papers whose co-authors appear nowhere else under this name
Inference for probabilistic dependency graphs
UAI 2023
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
‘Tecnologica cosa’: Modeling Storyteller Personalities in Boccaccio’s ‘Decameron’
EMNLP 2021
Differentiating through the Fréchet Mean
ICML 2020
Building Efficient Deep Neural Networks With Unitary Group Convolutions
CVPR 2019