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Swati Gupta

15 papers hereh-index 8292 citations23 works total

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

author position
  • first author2
  • middle author9
  • last author3

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.DS3
  • math.OC3
  • cs.CY2
  • quant-ph2
same name
  • Swati Gupta — 10 papers, h 5
  • Swati Gupta — 4 papers, h 6
  • Swati Gupta — 3 papers, h 3
  • Swati Gupta — 2 papers, h 1
  • Swati Gupta — 2 papers, h 2
  • Swati Gupta — 2 papers, h 3

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
20182022
most citedGroup-Fair Online Allocation in Continuous Time

11 citations · 42 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

quant-ph2020★ 7 cited

Generating Target Graph Couplings for QAOA from Native Quantum Hardware Couplings

Joel Rajakumar, Jai Moondra, Bryan Gard +2

We present methods for constructing any target coupling graph using limited global controls in an Ising-like quantum spin system. Our approach is motivated by implementing the quan…

quant-ph2020★ 7 cited

Bridging Classical and Quantum with SDP initialized warm-starts for QAOA

Reuben Tate, Majid Farhadi, Creston Herold +2

We study the Quantum Approximate Optimization Algorithm (QAOA) in the context of the Max-Cut problem. Near-term (noisy) quantum devices are only able to (accurately) execute QAOA a…

cs.LG2020★ 11 cited

Group-Fair Online Allocation in Continuous Time

Semih Cayci, Swati Gupta, Atilla Eryilmaz

The theory of discrete-time online learning has been successfully applied in many problems that involve sequential decision-making under uncertainty. However, in many applications…

math.OC2020

A Unifying Perspective on Descent Directions for Constrained Minimization and Switching Criteria

Hassan Mortagy, Swati Gupta, Sebastian Pokutta

Descent directions are fundamental to first-order methods for constrained convex optimization. In this work, we provide a unified perspective of these directions as they arise with…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.