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Alex L. Wang

15 papers hereh-index 7213 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • last author7

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • math.OC12
  • cs.LG2
  • cs.DS1
same name
  • Alex L. Wang — 9 papers, h 5
  • Alex L. Wang — 3 papers, h 3
  • Alex L. Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedThe Generalized Trust Region Subproblem: solution complexity and convex hull results

19 citations · 23 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

math.OC2020★ 4 cited

A Geometric View of SDP Exactness in QCQPs and its Applications

Alex L. Wang, Fatma Kilinc-Karzan

Quadratically constrained quadratic programs (QCQPs) are a highly expressive class of nonconvex optimization problems. While QCQPs are NP-hard in general, they admit a natural conv…

math.OC2020

Necessary and sufficient conditions for rank-one generated cones

C. J. Argue, Fatma Kılınç-Karzan, Alex L. Wang

A closed convex conic subset S of the positive semidefinite (PSD) cone is rank-one generated (ROG) if all of its extreme rays are generated by rank-one matrices. The RO…

cs.LG2020

Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities

Timothy Chu, Gary L. Miller, Noel J. Walkington +1

In this paper, we show how sparse or isoperimetric cuts of a probability density function relate to Cheeger cuts of its principal eigenfunction, for appropriate definitions of `spa…

math.OC2020

On convex hulls of epigraphs of QCQPs

Alex L. Wang, Fatma Kilinc-Karzan

Quadratically constrained quadratic programs (QCQPs) are a fundamental class of optimization problems well-known to be NP-hard in general. In this paper we study sufficient conditi…

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