Tootfinder

How Allegro reduced latency outliers by 82% by switching to #XFS:
https://blog.allegro.tech/2024/03/kafka-performance-analysis.html
"'Using a com…

Unlocking Kafka's Potential: Tackling Tail Latency with eBPF
At Allegro, we use Kafka as a backbone for asynchronous communication between microservices. With up to 300k messages published and 1M messages consumed every second, it is a key part of our infrastructure. A few months ago, in our main Kafka cluster, we noticed the following discrepancy: while median response times for produce requests were in single-digit milliseconds, the tail latency was much worse. Namely, the p99 latency was up to 1 second, and the p999 latency was up to 3 seconds. This w…

TikTok: Lieber Schließung in den USA, als Verkauf – Algorithmus zu wichtig
ByteDance will den Zwangsverkauf von TikTok in den USA vor Gericht abwenden. Sollte das nicht gelingen, werde die App eher geschlossen, als verkauft, heißt es.

Introduction to Variational Quantum Algorithms
Micha{\l} St\k{e}ch{\l}y
https://arxiv.org/abs/2402.15879 https://arxiv.org/pdf/2402.1…

Introduction to Variational Quantum Algorithms
This document is a pdf version of the series of blogposts about variational quantum algorithms (VQA) I originally posted on my blog Musty Thoughts. It provides an explanation of the basic variational algorithms, such as Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA), as well as a more general framework for VQAs. It also describes some more advanced techniques that can be used to make these algorithms more efficient, as well as the challenges associat…

When I first started making algorithmic music with Ade Ward 24 years ago (as Slub), we decided to only make music with software we'd made ourselves. I've mostly stuck to that aim ever since, although after a couple of years we added a rule that we'd make a fundamental part of the software during performances to keep things interesting.
I'm starting to get a bit fed up with just doing that so now I'm thinking about adding an additional rule - only live code algorithmi…

Exploratory Landscape Analysis for Mixed-Variable Problems
Raphael Patrick Prager, Heike Trautmann
https://arxiv.org/abs/2402.16467 https://arxiv.org/pdf/2402.16467
arXiv:2402.16467v1 Announce Type: new
Abstract: Exploratory landscape analysis and fitness landscape analysis in general have been pivotal in facilitating problem understanding, algorithm design and endeavors such as automated algorithm selection and configuration. These techniques have largely been limited to search spaces of a single domain. In this work, we provide the means to compute exploratory landscape features for mixed-variable problems where the decision space is a mixture of continuous, binary, integer, and categorical variables. This is achieved by utilizing existing encoding techniques originating from machine learning. We provide a comprehensive juxtaposition of the results based on these different techniques. To further highlight their merit for practical applications, we design and conduct an automated algorithm selection study based on a hyperparameter optimization benchmark suite. We derive a meaningful compartmentalization of these benchmark problems by clustering based on the used landscape features. The identified clusters mimic the behavior the used algorithms exhibit. Meaning, the different clusters have different best performing algorithms. Finally, our trained algorithm selector is able to close the gap between the single best and the virtual best solver by 57.5% over all benchmark problems.

Sources: ByteDance is exploring scenarios for selling a majority stake in TikTok US, preferably to non-tech companies, and without the recommendation algorithm (The Information)
https://www.theinformation.com/articles/byte…

ByteDance Exploring Scenarios for Selling TikTok Without Algorithm
ByteDance is internally exploring scenarios for selling a majority stake in TikTok’s U.S. business, preferably to companies outside the tech industry, and without the algorithm that recommends videos to TikTok users, said three people with knowledge ofthe deliberations. ByteDance’s internal ...

This https://arxiv.org/abs/2402.10396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Improved SQP and SLSQP Algorithms for Feasible Path-based Process Optimisation
The feasible path algorithm has been widely used for process optimisation due to its good convergence. The sequential quadratic programming (SQP) algorithm is usually used to drive the feasible path algorithm towards optimality. However, existing SQP algorithms may suffer from inconsistent quadratic programming (QP) subproblems and numerical noise, especially for ill-conditioned optimisation problems, leading to a suboptimal or infeasible solution. In this work, we propose an improved SQP algor…

This https://arxiv.org/abs/2401.10629 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Critical Reflection on the Use of Toxicity Detection Algorithms in Proactive Content Moderation Systems
Toxicity detection algorithms, originally designed with reactive content moderation in mind, are increasingly being deployed into proactive end-user interventions to moderate content. Through a socio-technical lens and focusing on contexts in which they are applied, we explore the use of these algorithms in proactive moderation systems. Placing a toxicity detection algorithm in an imagined virtual mobile keyboard, we critically explore how such algorithms could be used to proactively reduce the…

Introduction to Variational Quantum Algorithms
Micha{\l} St\k{e}ch{\l}y
https://arxiv.org/abs/2402.15879 https://arxiv.org/pdf/2402.1…

Introduction to Variational Quantum Algorithms
This document is a pdf version of the series of blogposts about variational quantum algorithms (VQA) I originally posted on my blog Musty Thoughts. It provides an explanation of the basic variational algorithms, such as Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA), as well as a more general framework for VQAs. It also describes some more advanced techniques that can be used to make these algorithms more efficient, as well as the challenges associat…

Sources: ByteDance is exploring scenarios for selling a majority stake in TikTok US, preferably to non-tech companies, and without the recommendation algorithm (The Information)
https://www.theinformation.com/articles/byte…

ByteDance Exploring Scenarios for Selling TikTok Without Algorithm
ByteDance is internally exploring scenarios for selling a majority stake in TikTok’s U.S. business, preferably to companies outside the tech industry, and without the algorithm that recommends videos to TikTok users, said three people with knowledge ofthe deliberations. ByteDance’s internal ...