Jerry Chee

According to our database1, Jerry Chee authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.
CoRR, 2024

2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Model Preserving Compression for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Performance optimizations on U-Net speech enhancement models.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

How Low Can We Go: Trading Memory for Error in Low-Precision Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Performance optimizations on deep noise suppression models.
CoRR, 2021

Pruning Neural Networks with Interpolative Decompositions.
CoRR, 2021

2020
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
Convergence diagnostics for stochastic gradient descent with constant learning rate.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Convergence diagnostics for stochastic gradient descent with constant step size.
CoRR, 2017


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