274 citations · 422 across the 12 of their papers we have counts for
15 papers
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction
Anastasios Zouzias, Kleovoulos Kalaitzidis, Konstantin Berestizshevsky +3
Branch prediction is arguably one of the most important speculative mechanisms within a high-performance processor architecture. A common approach to improve branch prediction accu…
Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies
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. Th…
Team voyTECH: User Activity Modeling with Boosting Trees
Immanuel Bayer, Anastasios Zouzias
This paper describes our winning solution for the ECML-PKDD ChAT Discovery Challenge 2020. We show that whether or not a Twitch user has subscribed to a channel can be well predict…
A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix
Christos Boutsidis, Petros Drineas, Prabhanjan Kambadur +2
We introduce a novel algorithm for approximating the logarithm of the determinant of a symmetric positive definite (SPD) matrix. The algorithm is randomized and approximates the tr…
Approximate Matrix Multiplication with Application to Linear Embeddings
Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
In this paper, we study the problem of approximately computing the product of two real matrices. In particular, we analyze a dimensionality-reduction-based approximation algorithm…
Non-uniform Feature Sampling for Decision Tree Ensembles
Anastasios Kyrillidis, Anastasios Zouzias
We study the effectiveness of non-uniform randomized feature selection in decision tree classification. We experimentally evaluate two feature selection methodologies, based on inf…