Find out what was missing from section 2 of our Algorithmic Contract Design Research paper.

This paper is available on arxiv under CC 4.0 license. It is available under the terms of the Creative Commons license.

We studied the multifaceted problem of designing a crowdsourcing mechanism that efficiently and accurately ranks a set of items using pairwise comparisons

In the following section, we present experiments that test our models and algorithm. We evaluate the impact of our algorithm on the principal’s utility

Algorithm 4 takes as input “comparisons”, which is a list of s sublists, each containing the returned results of the binary comparisons performed by an agent.

Learn the basics of the Sliding Window algorithm in JavaScript. Discover how to optimize tasks with practical examples for efficient data processing.

Techniques like Stochastic Gradient Descent (SGD) are designed to improve the calculation performance but at the cost of convergence accuracy.

The AI revolution in FX appears to be focused on portfolio optimization through algorithmic trading and execution.

10 more LeetCode Patterns to solve a thousand more LeetCode problems. Part 2 of an article published sometime back.

Discover 30 powerful growth hacks from companies like Airbnb and Hotmail, revealing how creative strategies turned obstacles into viral success stories.

Implementation of Floyd-Warshall algorithm in C# with parallelism and vectorisation.

Implementation of Floyd-Warshall algorithm in C# with route tracking capability to reconstruct the shortest paths routes later.

Heap Sort algorithm with step-by-step Python and JavaScript implementations.

Examining AI safety like peeling layers off an onion.

Implementation of cache-friendly Blocked Floyd-Warshall algorithm in C# (parallelism and vectorisation) coated in a basic theory behind caching and profiling.

Hello everyone,

How to Master Data Structures and Algorithms and Leetcode and Codeforces Contests for Beginners.

To address this problem, we propose PagedAttention, an attention algorithm inspired by the classical virtual memory and paging techniques in operating systems.

The serving system’s throughput is memory-bound. Overcoming this memory-bound requires addressing the following challenges in memory management

vLLM implements various decoding algorithms using three key methods: fork, append, and free.