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A. Pichler

30 papers hereh-index 262.5k citations165 works total

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

author position
  • sole author6
  • first author6
  • middle author3
  • last author13

Across the 28 of 30 papers where every author was matched, so the position is known.

fields
  • math.OC12
  • math.PR4
  • math.ST4
  • math.FA2
  • math.NT2
  • q-fin.RM2
same name
  • A. Pichler — 14 papers, h 7
  • A. Pichler — 7 papers, h 7
  • A. Pichler — 5 papers, h 13
  • A. Pichler — 2 papers, h 2

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
20122025
most citedComputing with Hamiltonian operators

12 citations · 57 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.OC2023★ 3 cited

Constrained Global Optimization by Smoothing

Vladimir Norkin, Alois Pichler, Anton Kozyriev

This paper proposes a novel technique called "successive stochastic smoothing" that optimizes nonsmooth and discontinuous functions while considering various constraints. Our metho…

math.OC2023

Portfolio reshaping under 1st order stochastic dominance constraints by the exact penalty function methods

Vladimir Norkin, Alois Pichler

The paper addresses general constrained and non-linear optimization problems. For some of these notoriously hard problems, there exists a reformulation as an unconstrained, global…

math.OC2023

Unbalanced Optimal Transport and Maximum Mean Discrepancies: Interconnections and Rapid Evaluation

Rajmadan Lakshmanan, Alois Pichler

This contribution presents substantial computational advancements to compare measures even with varying masses. Specifically, we utilize the nonequispaced fast Fourier transform to…

math.OC2023

Expectiles In Risk Averse Stochastic Programming and Dynamic Optimization

Rajmadan Lakshmanan, Alois Pichler

This paper features expectiles in dynamic and stochastic optimization. Expectiles are a family of risk functionals characterized as minimizers of optimization problems. For this re…

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