Is the space complexity of planted clique recovery the same as that of detection?

Is the space complexity of planted clique recovery the same as that of detection?

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=ib4s3HfIR_U


Duration: 25:04
186 views
1

12th Innovations in Theoretical Computer Science Conference (ITCS 2021)
http://itcs-conf.org/

Is the space complexity of planted clique recovery the same as that of detection?

Jay Mardia (Stanford University)



Other Videos By Simons Institute for the Theory of Computing


2021-01-15Total Functions in the Polynomial Hierarchy
2021-01-15Ordered Graph Limits and Their Applications
2021-01-15Shrinkage under random projections, and cubic formula lower bounds in AC^0
2021-01-15Interactive Proofs for Verifying Machine Learning
2021-01-15Lower Bounds on the Running Time of Two-Way Quantum Finite Automata and Sublogarithmic-Space Quantum
2021-01-15On the Complexity of #CSP^d
2021-01-15Sampling Arborescences in Parallel
2021-01-15Explicit SoS lower bounds from high-dimensional expanders
2021-01-15Two combinatorial MA-complete problems
2021-01-15Delegated Stochastic Probing
2021-01-15Is the space complexity of planted clique recovery the same as that of detection?
2021-01-15Query complexity lower bounds for local list-decoding and hard-core predicates (even for small rate
2021-01-15Bounds on the QAC0 Complexity of Approximating Parity
2021-01-15Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits
2021-01-15On the complexity of isomorphism problems for tensors, groups, and polynomials I: Tensor Isomorphism
2021-01-15On Basing Auxiliary-Input Cryptography on NP-hardness via Nonadaptive Black-Box Reductions
2021-01-15Distributed Quantum Proofs for Replicated Data
2021-01-15On Rich 2-to-1 Games
2021-01-15Theorems of KKL, Friedgut, and Talagrand via Random Restrictions and Log-Sobolev Inequality
2021-01-15Circuit Depth Reductions
2021-01-15Dynamic inference in probabilistic graphical models