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Colorado Reed

2 accepted papers

2025

CommVQ: Commutative Vector Quantization for KV Cache Compression

ICML 2025poster

Large Language Models (LLMs) are increasingly used in applications requiring long context lengths, but the key-value (KV) cache often becomes a memory bottleneck on GPUs as context grows. To address this, we propose Commutative Vector Quantization (CommVQ) to significantly reduce memory usage for lo…

2022

Invariant Information Bottleneck for Domain Generalization

AAAI 2022technical

Invariant risk minimization (IRM) has recently emerged as a promising alternative for domain generalization. Nevertheless, the loss function is difficult to optimize for nonlinear classifiers and the original optimization objective could fail when pseudo-invariant features and geometric skews exist.…