Jerry Chee
7 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(5)
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Academic Marathon
(7)
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Cross-Pollinator
(14)
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Interdisciplinary Bridge
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Keyword Pioneer
Conferences
AISTATS (2)
NIPS (2)
COLT (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
model compression
(2)
stochastic gradient descent
(2)
statistical inference
(1)
parameter estimation
(1)
generalization bound
(1)
convergence rate
(1)
confidence interval
(1)
parameter quantization
(1)
channel pruning
(1)
convergence diagnostic
(1)
large language model
(1)
neural network
(1)
constant learning rate
(1)
transient phase
(1)
stationary phase
(1)
incoherence processing
(1)
interpolative decomposition
(1)
Papers
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
COLT 2025
QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
ICML 2024
βPlus/minus the learning rateβ: Easy and Scalable Statistical Inference with SGD
AISTATS 2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
NIPS 2023
Model Preserving Compression for Neural Networks
NIPS 2022
How Low Can We Go: Trading Memory for Error in Low-Precision Training
ICLR 2022
Convergence diagnostics for stochastic gradient descent with constant learning rate
AISTATS 2018