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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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05/17/2023
Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning Problems
Many machine learning applications and tasks rely on the stochastic grad...
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10/11/2022
Match Cutting: Finding Cuts with Smooth Visual Transitions
A match cut is a transition between a pair of shots that uses similar fr...
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12/31/2020
Constrained and Composite Optimization via Adaptive Sampling Methods
The motivation for this paper stems from the desire to develop an adapti...
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01/01/2019