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Found 9 papers, 1 papers with code
Accurate Block Quantization in LLMs with Outliers
It made evident the colossal shortage of dedicated hardware capable of efficient and fast processing of the involved compute and memory movement.
Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference
This approach effectively reduces both the KV cache size and memory bandwidth usage without compromising model accuracy.
Block Format Error Bounds and Optimal Block Size Selection
This measure allows us to determine the optimal parameters, such as the block size, yielding highest accuracy.
A Robust Test for Elliptical Symmetry
Ellipticity GoF tests are usually hard to analyze and often their statistical power is not particularly strong.
Stationary Geometric Graphical Model Selection
We consider the problem of model selection in Gaussian Markov fields in the sample deficient scenario.
Region Detection in Markov Random Fields: Gaussian Case
Assuming that the entire graph can be partitioned into a number of spatial regions with similar edge parameters and reasonably regular boundaries, we develop new information-theoretic sample complexity bounds and show that a bounded number of samples can be sufficient to consistently recover these regions.
Joint Inverse Covariances Estimation with Mutual Linear Structure
We consider the problem of joint estimation of structured inverse covariance matrices.
Tyler's Covariance Matrix Estimator in Elliptical Models with Convex Structure
We address structured covariance estimation in elliptical distributions by assuming that the covariance is a priori known to belong to a given convex set, e. g., the set of Toeplitz or banded matrices.
Group Symmetry and non-Gaussian Covariance Estimation
We consider robust covariance estimation with group symmetry constraints.
