Outlier detection: Methods, models, and classification

A Boukerche, L Zheng, O Alfandi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

Building blocks of sharding blockchain systems: Concepts, approaches, and open problems

Y Liu, J Liu, MAV Salles, Z Zhang, T Li, B Hu… - Computer Science …, 2022 - Elsevier
Sharding is the prevalent approach to breaking the trilemma of simultaneously achieving
decentralization, security, and scalability in traditional blockchain systems, which are …

Rapidchain: Scaling blockchain via full sharding

M Zamani, M Movahedi, M Raykova - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
A major approach to overcoming the performance and scalability limitations of current
blockchain protocols is to use sharding which is to split the overheads of processing …

Introduction to multi-armed bandits

A Slivkins - Foundations and Trends® in Machine Learning, 2019 - nowpublishers.com
Multi-armed bandits a simple but very powerful framework for algorithms that make
decisions over time under uncertainty. An enormous body of work has accumulated over the …

Laughing hyena distillery: Extracting compact recurrences from convolutions

S Massaroli, M Poli, D Fu, H Kumbong… - Advances in …, 2024 - proceedings.neurips.cc
Recent advances in attention-free sequence models rely on convolutions as alternatives to
the attention operator at the core of Transformers. In particular, long convolution sequence …

The bitcoin backbone protocol: Analysis and applications

JA Garay, A Kiayias, N Leonardos - Journal of the ACM, 2015 - dl.acm.org
Bitcoin is the first and most popular decentralized cryptocurrency to date. In this work, we
extract and analyze the core of the Bitcoin protocol, which we term the Bitcoin backbone …

Detecting novel associations in large data sets

DN Reshef, YA Reshef, HK Finucane, SR Grossman… - science, 2011 - science.org
Identifying interesting relationships between pairs of variables in large data sets is
increasingly important. Here, we present a measure of dependence for two-variable …

Sampling-based algorithms for optimal motion planning

S Karaman, E Frazzoli - The international journal of robotics …, 2011 - journals.sagepub.com
During the last decade, sampling-based path planning algorithms, such as probabilistic
roadmaps (PRM) and rapidly exploring random trees (RRT), have been shown to work well …

Learning representations of ultrahigh-dimensional data for random distance-based outlier detection

G Pang, L Cao, L Chen, H Liu - Proceedings of the 24th ACM SIGKDD …, 2018 - dl.acm.org
Learning expressive low-dimensional representations of ultrahigh-dimensional data, eg,
data with thousands/millions of features, has been a major way to enable learning methods …

Bitcoin as a transaction ledger: A composable treatment

C Badertscher, U Maurer, D Tschudi, V Zikas - Journal of Cryptology, 2024 - Springer
Bitcoin is one of the most prominent examples of a distributed cryptographic protocol that is
extensively used in reality. Nonetheless, existing security proofs are property-based, and as …