Sotabase

Career

· Research Intern, Microsoft Research2024–
· Research Intern, Neural Magic2024–
· Research Engineer Intern, Meta2022–
· Intern, Amazon2021–
· Intern, Microsoft2021–
· Research Intern, Baidu2019–
· PhD in Computer Science, Cornell University2019–
· Senior Analytics Fellow, McKinsey & Company2017–2019
· B.S. in Computational and Applied Mathematics, University of Chicago2013–2017

Publications (11)

QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Neural Information Processing Systems · 2023
321
cited
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
International Conference on Machine Learning · 2024
234
cited
Convergence diagnostics for stochastic gradient descent with constant learning rate
International Conference on Artificial Intelligence and Statistics · 2018
52
cited
Model Preserving Compression for Neural Networks
Neural Information Processing Systems · 2021
15
cited
Convergence diagnostics for stochastic gradient descent with constant step size
arXiv.org · 2017
14
cited
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
2020 IEEE International Conference on Big Data (Big Data) · 2020
13
cited
"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD
International Conference on Artificial Intelligence and Statistics · 2023
8
cited
How Low Can We Go: Trading Memory for Error in Low-Precision Training
International Conference on Learning Representations · 2021
4
cited
Pruning Neural Networks with Interpolative Decompositions
arXiv.org · 2021
4
cited
Performance optimizations on U-Net speech enhancement models
IEEE International Workshop on Multimedia Signal Processing · 2022
2
cited
Performance optimizations on deep noise suppression models
arXiv.org · 2021
Sotabase
Jerry Chee | Researcher Profile | Sotabase | Sotabase