Advances in Complexity Theory and Algorithms

The field of complexity theory and algorithms is rapidly advancing, with significant developments in various areas. One of the key directions is the study of oblivious complexity classes, which has led to new lower bounds and hierarchies. Additionally, there have been breakthroughs in dynamic algorithms, including new results on dynamic matching, maximum flow, and minimum cut. The study of distributed algorithms has also seen significant progress, with new lower bounds and algorithms for problems such as maximal matching and vertex coloring. Furthermore, there have been advances in the area of approximation algorithms, including new results on bipartite matching and min-cost flow. Noteworthy papers include: Oblivious Complexity Classes Revisited: Lower Bounds and Hierarchies, which proves a hierarchy theorem for O_2TIME and makes partial progress towards resolving an open question posed by Goldreich and Meir. Another notable paper is Combinatorial Maximum Flow via Weighted Push-Relabel on Shortcut Graphs, which gives a combinatorial algorithm for computing exact maximum flows in directed graphs.

Sources

Oblivious Complexity Classes Revisited: Lower Bounds and Hierarchies

(Almost) Perfect Discrete Iterative Load Balancing

A Post-Quantum Lower Bound for the Distributed Lov\'asz Local Lemma

The Strongly Stable Roommates Problem and Linear Programming

All-Pairs Minimum Cut using $\tilde{O}(n^{7/4})$ Cut Queries

Combinatorial Maximum Flow via Weighted Push-Relabel on Shortcut Graphs

Unifying the Landscape of Super-Logarithmic Dynamic Cell-Probe Lower Bounds

On the Universality of Round Elimination Fixed Points

Generalized Flow in Nearly-linear Time on Moderately Dense Graphs

From Unweighted to Weighted Dynamic Matching in Non-Bipartite Graphs: A Low-Loss Reduction

Efficiently Batching Unambiguous Interactive Proofs

On the Randomized Locality of Matching Problems in Regular Graphs

Strongly Polynomial Parallel Work-Depth Tradeoffs for Directed SSSP

New Hardness Results for the LOCAL Model via a Simple Self-Reduction

On Hardness and Approximation of Broadcasting in Sparse Graphs

Optimal Rounding for Two-Stage Bipartite Matching

Separations between Oblivious and Adaptive Adversaries for Natural Dynamic Graph Problems

From Incremental Transitive Cover to Strongly Polynomial Maximum Flow

Parallel $(1+\epsilon)$-Approximate Multi-Commodity Mincost Flow in Almost Optimal Depth and Work

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