2024 Proceeding- General Chairs:
- Bojan Mohar,
- Igor Shinkar,
- Program Chair:
- Ryan O'Donnell
The papers in this volume were presented at the 56th Annual ACM Symposium on Theory of Computing (STOC 2024), sponsored by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT). The conference was held in Vancouver, Canada, June 24--28, 2024, with the papers being presented as live talks.
Online Edge Coloring Is (Nearly) as Easy as Offline
The classic theorem of Vizing (Diskret. Analiz.’64) asserts that any graph of maximum degree Δ can be edge colored (offline) using no more than Δ+1 colors (with Δ being a trivial lower bound). In the online setting, Bar-Noy, Motwani and Naor (IPL’92) ...
Approximate Earth Mover’s Distance in Truly-Subquadratic Time
We design an additive approximation scheme for estimating the cost of the min-weight bipartite matching problem: given a bipartite graph with non-negative edge costs and ε > 0, our algorithm estimates the cost of matching all but O(ε)-fraction of the ...
Near-Optimal Dynamic Rounding of Fractional Matchings in Bipartite Graphs
We study dynamic (1−є)-approximate rounding of fractional matchings—a key ingredient in numerous breakthroughs in the dynamic graph algorithms literature. Our first contribution is a surprisingly simple deterministic rounding algorithm in bipartite ...
Low-Step Multi-commodity Flow Emulators
We introduce the concept of low-step multi-commodity flow emulators for any undirected, capacitated graph. At a high level, these emulators contain approximate multi-commodity flows whose paths contain a small number of edges, shattering the infamous ...
Maximum Bipartite Matching in 𝑛2+𝑜(1) Time via a Combinatorial Algorithm
Maximum bipartite matching (MBM) is a fundamental problem in combinatorial optimization with a long and rich history. A classic result of Hopcroft and Karp (1973) provides an O(m √n)-time algorithm for the problem, where n and m are the number of ...
Index Terms
- Proceedings of the 56th Annual ACM Symposium on Theory of Computing
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| STOC '15 | 347 | 93 | 27% |
| STOC '14 | 319 | 91 | 29% |
| STOC '13 | 360 | 100 | 28% |
| STOC '11 | 304 | 84 | 28% |
| STOC '08 | 325 | 80 | 25% |
| STOC '03 | 270 | 80 | 30% |
| STOC '02 | 287 | 91 | 32% |
| STOC '01 | 230 | 83 | 36% |
| STOC '00 | 182 | 85 | 47% |
| STOC '98 | 169 | 75 | 44% |
| STOC '97 | 211 | 75 | 36% |
| STOC '96 | 201 | 74 | 37% |
| STOC '89 | 196 | 56 | 29% |
| STOC '88 | 192 | 53 | 28% |
| STOC '87 | 165 | 50 | 30% |
| STOC '80 | 125 | 47 | 38% |
| STOC '79 | 111 | 37 | 33% |
| STOC '78 | 120 | 38 | 32% |
| STOC '77 | 87 | 31 | 36% |
| STOC '76 | 83 | 30 | 36% |
| STOC '75 | 87 | 31 | 36% |
| STOC '74 | 95 | 35 | 37% |
| STOC '71 | 50 | 23 | 46% |
| STOC '70 | 70 | 27 | 39% |
| Overall | 4,586 | 1,469 | 32% |