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 Andrew Gordon Wilson, Ruqi Zhang, A. Feder Cooper
6 papers
· 2020–2025
· AISTATS, ICLR, AAAI
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Compute-Optimal LLMs Provably Generalize Better with Scale
ICLR 2025
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024
Low-Precision Stochastic Gradient Langevin Dynamics
ICML 2022
Meta-Learning Divergences for Variational Inference
AISTATS 2021
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
AISTATS 2020
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