Wolfram Wiesemann

Wolfram Wiesemann

Imperial College London

H-index: 31

Europe-United Kingdom

About Wolfram Wiesemann

Wolfram Wiesemann, With an exceptional h-index of 31 and a recent h-index of 27 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Stochastic Programming, Robust Optimization, Data-Driven Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A planner-trader decomposition for multimarket hydro scheduling

Data-driven chance constrained programs over Wasserstein balls

An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes

Randomized assortment optimization

A unifying framework for the capacitated vehicle routing problem under risk and ambiguity

It's All in the Mix: Wasserstein Machine Learning with Mixed Features

Streamlining Energy Transition Scenarios to Key Policy Decisions

Optimal hospital care scheduling during the SARS-CoV-2 pandemic

Wolfram Wiesemann Information

University

Position

Professor of Analytics and Operations Business School

Citations(all)

4638

Citations(since 2020)

3283

Cited By

2654

hIndex(all)

31

hIndex(since 2020)

27

i10Index(all)

48

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Wolfram Wiesemann Skills & Research Interests

Stochastic Programming

Robust Optimization

Data-Driven Optimization

Top articles of Wolfram Wiesemann

A planner-trader decomposition for multimarket hydro scheduling

Operations Research

2024/1

Data-driven chance constrained programs over Wasserstein balls

Operations Research

2024/1

Zhi Chen
Zhi Chen

H-Index: 8

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes

arXiv preprint arXiv:2404.02006

2024/4/2

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Randomized assortment optimization

Operations Research

2024/3/18

Heikki Peura
Heikki Peura

H-Index: 3

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

A unifying framework for the capacitated vehicle routing problem under risk and ambiguity

Operations Research

2024/3

Shubhechyya Ghosal
Shubhechyya Ghosal

H-Index: 1

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

It's All in the Mix: Wasserstein Machine Learning with Mixed Features

arXiv preprint arXiv:2312.12230

2023/12/19

Aras Selvi
Aras Selvi

H-Index: 1

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Streamlining Energy Transition Scenarios to Key Policy Decisions

arXiv preprint arXiv:2311.06625

2023/11/11

Optimal hospital care scheduling during the SARS-CoV-2 pandemic

Management Science

2023/10

A unified theory of robust and distributionally robust optimization via the primal-worst-equals-dual-best principle

Operations Research

2023/9/26

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

On approximations of data-driven chance constrained programs over Wasserstein balls

Operations Research Letters

2023/5/1

Zhi Chen
Zhi Chen

H-Index: 8

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Differential Privacy via Distributionally Robust Optimization

arXiv preprint arXiv:2304.12681

2023/4/25

Aras Selvi
Aras Selvi

H-Index: 1

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Multi-Stage Robust Mixed-Integer Programming

2023/3/31

A reformulation-linearization technique for optimization over simplices

Mathematical Programming

2023/1

Robust -Divergence MDPs

Advances in Neural Information Processing Systems

2022/12/6

Marek Petrik
Marek Petrik

H-Index: 14

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Wasserstein logistic regression with mixed features

Advances in Neural Information Processing Systems

2022/12/6

On linear optimization over Wasserstein balls

Mathematical Programming

2022/9

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Scenario reduction revisited: Fundamental limits and guarantees

Mathematical Programming

2022/1

Designing digital rollovers: Managing perceived obsolescence through release times

Production and Operations Management

2021/10

Tommaso Valletti
Tommaso Valletti

H-Index: 27

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic

Nature Computational Science

2021/8

On the optimality of affine decision rules in robust and distributionally robust optimization

Available at Optimization Online

2021/5/20

Angelos Tsoukalas
Angelos Tsoukalas

H-Index: 11

Wolfram Wiesemann
Wolfram Wiesemann

H-Index: 21

See List of Professors in Wolfram Wiesemann University(Imperial College London)