Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies

no code implementations • 25 Jun 2021 • Anastasios Zouzias, Kleovoulos Kalaitzidis, Boris Grot

Recent years have seen stagnating improvements to branch predictor (BP) efficacy and a dearth of fresh ideas in branch predictor design, calling for fresh thinking in this area.

reinforcement-learning Reinforcement Learning (RL)

Team voyTECH: User Activity Modeling with Boosting Trees

no code implementations • 3 Jul 2020 • Immanuel Bayer, Anastasios Zouzias

This paper describes our winning solution for the ECML-PKDD ChAT Discovery Challenge 2020.

Approximate Matrix Multiplication with Application to Linear Embeddings

no code implementations • 30 Mar 2014 • Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias

In this paper, we study the problem of approximately computing the product of two real matrices.

Dimensionality Reduction

Non-uniform Feature Sampling for Decision Tree Ensembles

no code implementations • 24 Mar 2014 • Anastasios Kyrillidis, Anastasios Zouzias

We study the effectiveness of non-uniform randomized feature selection in decision tree classification.

feature selection General Classification

Randomized Dimensionality Reduction for k-means Clustering

no code implementations • 13 Oct 2011 • Christos Boutsidis, Anastasios Zouzias, Michael W. Mahoney, Petros Drineas

On the other hand, two provably accurate feature extraction methods for $k$-means clustering are known in the literature; one is based on random projections and the other is based on the singular value decomposition (SVD).

Clustering Dimensionality Reduction +1

Random Projections for k-means Clustering

no code implementations • NeurIPS 2010 • Christos Boutsidis, Anastasios Zouzias, Petros Drineas

This paper discusses the topic of dimensionality reduction for $k$-means clustering.

Clustering Dimensionality Reduction