Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Cybersecurity
Digital Marketing
Generative AI
Understanding Medical Research: Your Facebook Friend is Wrong
Algorithms, Part I
Moralities of Everyday Life
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore a 3/2-approximation algorithm for stochastic vertex cover using O(n/p) non-adaptive queries, improving upon previous 2-approximation methods and discussing extensions to correlated edge realizations.
Explore advanced algorithms for dynamic maximum matching using Ordered Ruzsa-Szemeredi Graphs, improving update time to n^{o(1)} * ORS(n) and reducing the problem to a combinatorial bound.
Explore recent advancements in directed spanner algorithms, including online and offline settings, weighted variants, and buy-at-bulk extensions.
Explore streaming algorithms for k-median and k-means clustering, achieving constant space complexity independent of data size and aspect ratio. Improve space and update time for approximate subspace embeddings.
Explore sublinear algorithms for correlation clustering, focusing on a 3+eps approximation method using LCA probes, MPC rounds, and dynamic updates. Analyze technical results for maximal independent set computation.
Explore approaches for designing fast dynamic algorithms for approximate matchings, focusing on fully dynamic settings and the concept of matching sparsifiers in graph theory.
Explore an algorithm for approximating maximum matching in dynamic streams, achieving O(1)-approximation in O(log log n) passes and O(n poly log n) space, with lower bound proof.
Explore sublinear additive spanners in graph theory, focusing on optimal stretch functions and size bounds for undirected unweighted graphs. Learn about recent advancements and their implications.
Explore planar graph partition oracles for bounded degree graphs, focusing on hyperfinite decompositions and their applications in sublinear algorithms and property testing.
Explore graph sparsification, CSP compression, and code sparsification techniques. Learn about cutting-edge research in sublinear graph simplification and its applications to various domains.
Explore robust optimization's history and its modern machine learning applications, focusing on performance certification and practical challenges in ML systems.
Explore conditional sampling techniques for distribution testing, focusing on efficient algorithms and their applications in statistical analysis.
Explore challenges in developing practical algorithms, focusing on real-world applications and industry perspectives in computer science research.
Explore AI's potential to enhance personal well-being through innovative technologies, focusing on practical applications and future developments in this emerging field.
Explore semiring semantics in logic, evaluating statements with values beyond true/false. Learn applications in database queries, provenance analysis, and extensions to various logical systems.
Get personalized course recommendations, track subjects and courses with reminders, and more.