research
∙
07/28/2022
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction
Branch prediction is arguably one of the most important speculative mech...
share
research
∙
06/25/2021
Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies
Recent years have seen stagnating improvements to branch predictor (BP) ...
research
∙
07/03/2020
Team voyTECH: User Activity Modeling with Boosting Trees
This paper describes our winning solution for the ECML-PKDD ChAT Discove...
research
∙
03/30/2014
Approximate Matrix Multiplication with Application to Linear Embeddings
In this paper, we study the problem of approximately computing the produ...
research
∙
03/24/2014
Non-uniform Feature Sampling for Decision Tree Ensembles
We study the effectiveness of non-uniform randomized feature selection i...
research
∙
11/21/2010
