Jerry Chee
7 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
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Research topics
Keywords
stochastic gradient descent
(2)
llms
(2)
quantization
(2)
model compression
(2)
convergence rate
(1)
confidence interval
(1)
memory optimization
(1)
parameter quantization
(1)
low-precision training
(1)
pareto optimization
(1)
channel pruning
(1)
fine tuning
(1)
convergence diagnostic
(1)
error analysis
(1)
hadamard transform
(1)
large language model
(1)
neural network
(1)
discrepancy theory
(1)
constant learning rate
(1)
transient phase
(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
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD
AISTATS 2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
NeurIPS 2023
How Low Can We Go: Trading Memory for Error in Low-Precision Training
ICLR 2022
Model Preserving Compression for Neural Networks
NeurIPS 2022
Convergence diagnostics for stochastic gradient descent with constant learning rate
AISTATS 2018