Anastasios Zouzias

Orcid: 0000-0002-3743-3489

According to our database1, Anastasios Zouzias authored at least 30 papers between 2006 and 2023.

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Bibliography

2023
A Parallel Scan Algorithm in the Tensor Core Unit Model.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

2022
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction.
CoRR, 2022

2021
Branch Prediction as a Reinforcement Learning Problem: Why, How and Case Studies.
CoRR, 2021

2020
Team voyTECH: User Activity Modeling with Boosting Trees.
Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), 2020

2018
Very-Low Random Projection Maps.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2015
Randomized Dimensionality Reduction for k-Means Clustering.
IEEE Trans. Inf. Theory, 2015

A Randomized Algorithm for Approximating the Log Determinant of a Symmetric Positive Definite Matrix.
CoRR, 2015

Randomized gossip algorithms for solving Laplacian systems.
Proceedings of the 14th European Control Conference, 2015

2014
Hidden Cliques and the Certification of the Restricted Isometry Property.
IEEE Trans. Inf. Theory, 2014

Efficient Dimensionality Reduction for Canonical Correlation Analysis.
SIAM J. Sci. Comput., 2014

Approximate matrix multiplication with application to linear embeddings.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Non-uniform feature sampling for decision tree ensembles.
Proceedings of the IEEE International Conference on Acoustics, 2014

Templated Search over Relational Databases.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Randomized Primitives For Linear Algebra and Applications.
PhD thesis, 2013

Randomized Extended Kaczmarz for Solving Least Squares.
SIAM J. Matrix Anal. Appl., 2013

2012
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

A Matrix Hyperbolic Cosine Algorithm and Applications.
Proceedings of the Automata, Languages, and Programming - 39th International Colloquium, 2012

Fast distributed smoothing of relative measurements.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A note on element-wise matrix sparsification via a matrix-valued Bernstein inequality.
Inf. Process. Lett., 2011

Stochastic Dimensionality Reduction for K-means Clustering
CoRR, 2011

On the Certification of the Restricted Isometry Property
CoRR, 2011

Low Rank Matrix-valued Chernoff Bounds and Approximate Matrix Multiplication.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

2010
A Note on Element-wise Matrix Sparsification via Matrix-valued Chernoff Bounds
CoRR, 2010

Low Rank Matrix-Valued Chernoff Bounds and Applications
CoRR, 2010

Low Dimensional Euclidean Volume Preserving Embeddings
CoRR, 2010

Inapproximability for Planar Embedding Problems.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

Random Projections for $k$-means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Online Embeddings.
Proceedings of the Approximation, 2010

2008
Near Optimal Dimensionality Reductions That Preserve Volumes.
Proceedings of the Approximation, 2008

2006
Scalability of Text Classification.
Proceedings of the WEBIST 2006, 2006


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