On Sketching Quadratic Forms Robert Krauthgamer, Weizmann Institute of Science Joint with: Alex Andoni, Jiecao Chen, Bo Qin, David Woodruff and Qin Zhang.

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On Sketching Quadratic Forms Robert Krauthgamer, Weizmann Institute of Science Joint with: Alex Andoni, Jiecao Chen, Bo Qin, David Woodruff and Qin Zhang Sublinear Day at MIT, TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A

Quadratic Forms On Sketching Quadratic Forms

Sketching a Quadratic Form On Sketching Quadratic Forms

Goal: Sketch s(A) of Small Size On Sketching Quadratic Forms

What about PSD Matrices? On Sketching Quadratic Forms

“For all” Guarantee for PSD Matrices Even if A is PSD, s(A) must be of size Ω(n 2 ) in “for all” model Proof idea: Consider a net of exp(n 2 ) projection matrices onto n/2- dimensional subspaces For all P,Q in the net, ||P-Q|| 2 > 1/4 There is x with ||Px|| 2 > 1/16 but ||Qx|| 2 = 0 Thus, can recover A from this “encoding” On Sketching Quadratic Forms

Interim Summary On Sketching Quadratic Forms

Sketching Laplacians On Sketching Quadratic Forms

Many Intriguing Questions… Can one do better than [BSS]? [BSS]: Cannot do better!  Namely, O(n/ε 2 ) edges is optimal size  Assumptions: for general queries x, and using a subgraph H Unknown: What about for cut queries? What about the “for each” model? What about an arbitrary data structure? On Sketching Quadratic Forms

Main Results I [upper bounds] In “for each” model, can break the O(n/ε 2 ) upper bound of [BSS]! For cut queries, can achieve Õ(n/ε) space For arbitrary queries, can achieve Õ(n/ε 1.6 ) space Provably separate the “for each” and “for all” models for Laplacians Algorithms extend to SDD matrices On Sketching Quadratic Forms

Main Results II [lower bounds] On Sketching Quadratic Forms

Rest of Talk – Sketching Cuts Upper bound in “for each” model Lower bound in “for all” model On Sketching Quadratic Forms

UB: First Attempt – Edge Sampling On Sketching Quadratic Forms

Core Idea On Sketching Quadratic Forms

Illustration dense components C S The graph is decomposed into dense components Edges between components are stored explicitly Edges inside each component are sampled On Sketching Quadratic Forms

Sketch Size On Sketching Quadratic Forms

Estimation Procedure On Sketching Quadratic Forms exact

Analysis of Inside Edges On Sketching Quadratic Forms

Actual Scheme (Polynomial Weights) On Sketching Quadratic Forms sketch size increases by log n factor sketch size O(n)

Further Extensions On Sketching Quadratic Forms

LB First Attempt: One-way Comm. On Sketching Quadratic Forms

LB Outline: a Hard Comm. Problem On Sketching Quadratic Forms

LB Outline: a Reduction On Sketching Quadratic Forms

LB for Cut-Sparsifiers On Sketching Quadratic Forms

Future Questions Concrete: Graphical sketch? One pass? Avoid sparse-cut computations? Handle adaptive queries? High-level directions: Tradeoffs between representations (graphical vs. data structure) Connections between distances/cuts/flows? Sketching of other combinatorial features (graphs)? On Sketching Quadratic Forms Thank You!

On Sketching Quadratic Forms

Example Application On Sketching Quadratic Forms