activity
20242026
collaborators

11 papers

cs.DS2026

Reachability in Directed Acyclic Graphs with Near-Linear Cut Queries

Sanjeev Khanna, Aaron Putterman, Junkai Song

In the cut-query model, an algorithm is given access to a graph \emph{only} via cut queries. This model has seen significant attention in the undirected graph setting,…

cs.DS2026

A Unified Theory of Sparsification

Sanjeev Khanna, Aaron Putterman, Madhu Sudan

We study the sparsifiability of \emph{real-valued codes}, a unifying abstraction that generalizes both combinatorial and continuous notions of sparsification, including spectral sp…

cs.DS2026

An Round Parallel Algorithm for Matroid Bases

Sanjeev Khanna, Aaron Putterman, Junkai Song

We study the parallel (adaptive) complexity of the classic problem of finding a basis in an -element matroid, given access via an \emph{independence oracle}. In this model, the…

cs.DS2026

Fault-Tolerant Distance Oracles Below the Barrier

Sanjeev Khanna, Christian Konrad, Aaron Putterman

Fault-tolerant spanners are fundamental objects that preserve distances in graphs even under edge failures. A long line of work culminating in Bodwin, Dinitz, Robelle (SODA 2022) g…

cs.DS2025

Optimal Parallel Basis Finding in Graphic and Related Matroids

Sanjeev Khanna, Aaron Putterman, Junkai Song

We study the parallel complexity of finding a basis of a graphic matroid under independence-oracle access. Karp, Upfal, and Wigderson (FOCS 1985, JCSS 1988) initiated the study of…

cs.DS2025

On the Parallel Complexity of Finding a Matroid Basis

Sanjeev Khanna, Aaron Putterman, Junkai Song

A fundamental question in parallel computation, posed by Karp, Upfal, and Wigderson (FOCS 1985, JCSS 1988), asks: \emph{given only independence-oracle access to a matroid on el…