MTEI Publications


Journal Articles

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

L. Deng; X. Zhang; T. Yang; H. Sun; Y. Fu et al. 

Csee Journal Of Power And Energy Systems. 2024-03-01. Vol. 10, num. 2, p. 492-503. DOI : 10.17775/CSEEJPES.2023.02720.

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

M-C. Yue; Y. Rychener; D. Kuhn; V. A. Nguyen 

2024. DOI : 10.48550/arXiv.2405.20124.

Monopoly Pricing with Unknown Demand

T. A. Weber 

Scandinavian Journal of Economics. 2024. DOI : 10.1111/sjoe.12564.


M. Gruber; J. C. Dencker; A. (. Nikiforou 

Academy Of Management Journal. 2024-04-01. Vol. 67, num. 2, p. 382-406. DOI : 10.5465/amj.2022.0405.


D. A. Gregoire; A. L. J. Ter Wal; L. M. Little; S. Bermiss; R. Kotha et al. 

Academy Of Management Journal. 2024-04-01. Vol. 67, num. 2, p. 289-298. DOI : 10.5465/amj.2024.4002.


M. Gruber; P. Bliese 

Academy Of Management Journal. 2024-02-01. Vol. 67, num. 1, p. 1-4. DOI : 10.5465/amj.2024.4001.

The spatial and economic footprint of the coal industry on rural livelihoods in Jharkhand, India

S. Pelz; A. Krumm; M. Aklin; V. Nandan; J. Urpelainen 

Energy Policy. 2024-01-19. Vol. 186, p. 113973. DOI : 10.1016/j.enpol.2023.113973.

Equity ownership and identification with the founding team

E. Weissenböck; N. Breugst; H. Patzelt; R. Dibbern 

Applied Psychology-An International Review-Psychologie Appliquee-Revue Internationale. 2024-01-16. DOI : 10.1111/apps.12515.

Frequency Regulation with Storage: On Losses and Profits

D. Lauinger; F. Vuille; D. Kuhn 

European Journal on Operational Research. 2024. DOI : 10.1016/j.ejor.2024.03.022.

Small Errors in Random Zeroth-Order Optimization are Imaginary

W. Jongeneel; M-C. Yue; D. Kuhn 

SIAM Journal on Optimization. 2024. 

A Planner-Trader Decomposition for Multi-Market Hydro Scheduling

K. Schindler; N. Rujeerapaiboon; D. Kuhn; W. Wiesemann 

Operations Research. 2024. Vol. 72, num. 1, p. 185-202. DOI : 10.1287/opre.2023.2456.

A Pareto Dominance Principle for Data-Driven Optimization

T. Sutter; B. Van Parys; D. Kuhn 

Operations Research. 2024. DOI : 10.1287/opre.2021.0609.

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

C. Kocyigit; D. Kuhn; N. Rujeerapaiboon 

INFORMS Journal on Computing. 2024. DOI : 10.1287/ijoc.2022.0275.

Reliable Frequency Regulation through Vehicle-to-Grid: Encoding Legislation with Robust Constraints

D. Lauinger; F. Vuille; D. Kuhn 

Manufacturing & Service Operations Management. 2024. Vol. 26, num. 2, p. 722-738. DOI : 10.1287/msom.2022.0154.

Data-Driven Chance Constrained Programs over Wasserstein Balls

Z. Chen; D. Kuhn; W. Wiesemann 

Operations Research. 2024. Vol. 72, num. 1, p. 410–424. DOI : 10.1287/opre.2022.2330.

Conference Papers

Optimal Depth of Discharge for Electric Batteries with Robust Capacity-Shrinkage Estimator

T. Weber 

2024-02-19. 2024 4th International Conference on Smart Grid and Renewable Energy (SGRE), Doha, Qatar, January 8-10, 2024. DOI : 10.1109/SGRE59715.2024.10428801.


Stability: a search for structure

W. Jongeneel / D. Kuhn (Dir.)  

Lausanne, EPFL, 2024. 

Reliable data-driven decision-making through optimal transport

B. Taskesen / D. Kuhn (Dir.)  

Lausanne, EPFL, 2024. 


Journal Articles


M. Grimes; G. von Krogh; S. Feuerriegel; F. Rink; M. Gruber 

Academy Of Management Journal. 2023-12-01. Vol. 66, num. 6, p. 1617-1624. DOI : 10.5465/amj.2023.4006.

The effects of war on Ukrainian research

G. de Rassenfosse; T. Murovana; W-H. P. Uhlbach 

Humanities & Social Sciences Communications. 2023-12-12. Vol. 10, num. 1, p. 856. DOI : 10.1057/s41599-023-02346-x.

International mobility of inventors and innovation: Empirical evidence from the collapse of the Soviet Union

G. de Rassenfosse; G. Pellegrino 

Economics Letters. 2023-11-16. Vol. 234, p. 111450. DOI : 10.1016/j.econlet.2023.111450.


J. C. Dencker; M. Gruber; T. Miller; E. D. Rouse; G. von Krogh 

Academy Of Management Journal. 2023-10-01. Vol. 66, num. 5, p. 1295-1302. DOI : 10.5465/amj.2023.4005.

Location is a major barrier for transferring US fossil fuel employment to green jobs

J. Lim; M. Aklin; M. R. Frank 

Nature Communications. 2023. Vol. 14, num. 1. DOI : 10.1038/s41467-023-41133-9.

An Innovative Journal During Transformational Times: Embarking On The 23Rd Editorial Term

M. Gruber 

Academy Of Management Journal. 2023-02-01. Vol. 66, num. 1, p. 1-8. DOI : 10.5465/amj.2023.4001.

Opening Up Amj’S Research Methods Repertoire

A. Langley; E. Bell; P. Bliese; C. LeBaron; M. Gruber 

Academy Of Management Journal. 2023-06-01. Vol. 66, num. 3, p. 711-719. DOI : 10.5465/amj.2023.4003.

Estimation of Self-Exciting Point Processes from Time-Censored Data

P. Schneider; T. Weber 

Physical Review E. 2023. Vol. Vol. 108, num. No. 1, Article 015303, p. 1-29. DOI : 10.1103/PhysRevE.108.015303.

Recognizing And Utilizing Novel Research Opportunities With Artificial Intelligence

G. von Krogh; Q. Roberson; M. Gruber 

Academy Of Management Journal. 2023-04-01. Vol. 66, num. 2, p. 367-373. DOI : 10.5465/amj.2023.4002.

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

M. Li; T. Sutter; D. Kuhn 

2023. DOI : 10.48550/arXiv.2305.19004.

Is The Patent System An Even Playing Field? The Effect Of Patent Attorney Firms

G. De Rassenfosse; P. H. Jensen; T. Julius; A. Palangkaraya; E. Webster 

Journal Of Industrial Economics. 2023-04-05. Vol. 71, num. 1, p. 124-142. DOI : 10.1111/joie.12319.

Do patent pledges accelerate innovation?

G. de Rassenfosse; A. Palangkaraya 

Research Policy. 2023-03-09. Vol. 52, num. 5, p. 104745. DOI : 10.1016/j.respol.2023.104745.

Maneuvering the odds: The dynamics of venture capital decision-making

J. S. S. Petty; M. Gruber; D. Harhoff 

Strategic Entrepreneurship Journal. 2023-02-10. DOI : 10.1002/sej.1455.

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization

S. Shafieezadeh Abadeh; L. Aolaritei; F. Dörfler; D. Kuhn 

2023. DOI : 10.48550/arXiv.2303.03900.

Price discrimination with robust beliefs

J. Han; T. A. Weber 

European Journal of Operational Research. 2023-04-16. Vol. 306, num. 2, p. 795-809. DOI : 10.1016/j.ejor.2022.08.022.

Assortment optimization using an attraction model in an omnichannel environment

A. Vasilyev; S. Maier; R. W. Seifert 

European Journal Of Operational Research. 2023. Vol. 306, num. 1, p. 207-226. DOI : 10.1016/j.ejor.2022.08.002.

Utilizing additive manufacturing and mass customization under capacity constraints

R. Lacroix; A. Timonina-Farkas; R. W. Seifert 

Journal Of Intelligent Manufacturing. 2023-01-01. DOI : 10.1007/s10845-022-02007-x.

Information Retrieval Under Network Uncertainty: Robust Internet Ranking

A. Timonina-Farkas; R. W. Seifert 

Operations Research. 2023. Vol. Vol. 71(6), p. 2328-2351. DOI : 10.1287/opre.2022.2298.

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

R. Schwan; C. N. Jones; D. Kuhn 

IEEE Transactions on Automatic Control. 2023. Vol. 68, num. 12, p. 7514-7529. DOI : 10.1109/TAC.2023.3283213.

On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls

Z. Chen; D. Kuhn; W. Wiesemann 

Operations Research Letters. 2023. Vol. 51, num. 3, p. 226-233. DOI : 10.1016/j.orl.2023.02.008.

Relatively robust decisions

T. A. Weber 

Theory And Decision. 2023-01-01. Vol. 94, num. 1, p. 35—62. DOI : 10.1007/s11238-022-09866-z.

Discrete Optimal Transport with Independent Marginals is #P-Hard

B. Taskesen; S. Shafieezadeh Abadeh; D. Kuhn; K. Natarajan 

SIAM Journal on Optimization. 2023. Vol. 33, num. 2, p. 589-614. DOI : 10.1137/22M1482044.

Examining Open Innovation in Science (OIS): what Open Innovation can and cannot offer the science of science

S. Beck; M. LaFlamme; C. Bergenholtz; M. Bogers; T-M. Brasseur et al. 

Innovation-Organization & Management. 2023. Vol. 25, num. 3, p. 221-235. DOI : 10.1080/14479338.2021.1999248.

Efficient Learning of a Linear Dynamical System with Stability Guarantees

W. Jongeneel; T. Sutter; D. Kuhn 

IEEE Transactions on Automatic Control. 2023. Vol. 68, num. 5, p. 2790-2804. DOI : 10.1109/TAC.2022.3213770.

A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle

J. Zhen; D. Kuhn; W. Wiesemann 

Operations Research. 2023. DOI : 10.1287/opre.2021.0268.

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

B. Taskesen; S. Shafieezadeh Abadeh; D. Kuhn 

Mathematical Programming. 2023. Vol. 199, p. 1033–1106. DOI : 10.1007/s10107-022-01856-x.

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization

V. A. Nguyen; S. Shafieezadeh Abadeh; D. Kuhn; P. Mohajerin Esfahani 

Mathematics of Operations Research. 2023. Vol. 48, num. 1, p. 1-37. DOI : 10.1287/moor.2021.1176.

Conference Papers

Contextual Stochastic Bilevel Optimization

Y. Hu; J. Wang; Y. Xie; A. Krause; D. Kuhn 

2023. 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, December 10-16, 2023. DOI : 10.48550/arXiv.2310.18535.

Does Sharing Lead to Smarter Products? Managing Information Flows for Collective Servitization

T. Weber 

2023. International Conference on Information Technology & Systems (ICITS’23), Cusco, Peru, April 24-26, 2023. p. 585-593. DOI : 10.1007/978-3-031-33258-6_53.

Distributionally Robust Linear Quadratic Control

B. Taskesen; D. Iancu; C. Kocyigit; D. Kuhn 

2023. 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, December 10-16, 2023. DOI : 10.48550/arXiv.2305.17037.

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Y. Rychener; D. Kuhn; T. Sutter 

2023. 40th International Conference on Machine Learning, Honolulu, Hawaii, USA, July 23-29 2023. DOI : 10.48550/arXiv.2306.04174.

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables


2023. Thirty-Seventh AAAI Conference on Artificial Intelligence, Washington DC, USA,


Publishing Multimethod Research In Amj: A Review And Best-Practice Recommendations

N. Wellman; C. Tro; M. Grimes; Q. Roberson; F. Rink et al. 

Academy Of Management Journal. 2023-08-01. Vol. 66, num. 4, p. 1007-1015. DOI : 10.5465/amj.2023.4004.

Twisting in the Wind: The Politics of Tepid Transitions to Renewable Energy

M. Aklin 

Perspective on Politics. 2023. 


Quantitative Methods for Omnichannel Decision-Making

A. Vasilyev / R. Seifert (Dir.)  

Lausanne, EPFL, 2023. 

Economic Effect of Patents and the Patent System: Insights from Linked Patent-Product Data

G. Abi Younes / G. J. A. de Rassenfosse (Dir.)  

Lausanne, EPFL, 2023. 

Optimizing Sales Forecasting, Inventory, Pricing and Sourcing Decisions

Y. Kayyali El Alem / R. Seifert (Dir.)  

Lausanne, EPFL, 2023. 

Entrepreneurial Opportunities and Threats in the Era of Grand Societal Challenges

E. Bergamini / M. Gruber (Dir.)  

Lausanne, EPFL, 2023. 

Book Chapters

The Politics of Sustainability: Energy Efficiency, Carbon Pricing, and the Circular Economy

M. Aklin; P. Bayer 

Handbook on the Geopolitics of the Energy Transition; Cheltenham Glos, UK: Edward Elgar Publishing, 2023-11-01.


Journal Articles

Supply preferences and productive electricity use constraints among micro and small enterprises in Bihar, India

S. Pelz; M. Aklin; J. Urpelainen 

Energy for Sustainable Development. 2022. Vol. 67, p. 151-162. DOI : 10.1016/j.esd.2022.01.004.

Inflation concerns and mass preferences over exchange‐rate policy

M. Aklin; E. Arias; J. Gray 

Economics & Politics. 2022. Vol. 34, num. 1, p. 5-40. DOI : 10.1111/ecpo.12176.

Jobs for a just transition: Evidence on coal job preferences from India

B. Blankenship; M. Aklin; J. Urpelainen; V. Nandan 

Energy Policy. 2022. Vol. 165, p. 112910. DOI : 10.1016/j.enpol.2022.112910.

A Wasserstein-based measure of conditional dependence

J. Etesami; K. Zhang; N. Kiyavash 

Behaviormetrika. 2022-06-25. Vol. 49, num. 2, p. 343-362. DOI : 10.1007/s41237-022-00170-2.

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

S. Akbari; F. Jamshidi; E. Mokhtarian; M. J. Vowels; J. Etesami et al. 

ArXiv. 2022. DOI : 10.48550/arXiv.2208.04627.

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

E. Mokhtarian; S. Salehkaleybar; A. Ghassami; N. Kiyavash 

Journal Of Machine Learning Research. 2022-12-20. Vol. 24, p. 354.

Momentum-Based Policy Gradient with Second-Order Information

S. Salehkaleybar; M. Khorasani; N. Kiyavash; N. He; P. Thiran 


A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

Y. K. Elalem; S. Meier; R. Seifert 

International Journal of Forecasting. 2022-11-16. DOI : 10.1016/j.ijforecast.2022.09.005.

Distributionally Robust Optimal Allocation with Costly Verification

H. İ. Bayrak; C. Kocyigit; D. Kuhn; M. Pinar 


(Dis)assortative partitions on random regular graphs

F. Behrens; G. Arpino; Y. Kivva; L. Zdeborova 

Journal Of Physics A-Mathematical And Theoretical. 2022-09-30. Vol. 55, num. 39, p. 395004. DOI : 10.1088/1751-8121/ac8b46.

Limiting the impact of supply chain disruptions in the face of distributional uncertainty in demand

A. Timonina-Farkas; R. Y. Glogg; R. W. Seifert 

Production And Operations Management. 2022-09-06. DOI : 10.1111/poms.13781.

Special Section: Reevaluating Markets for Information

R. J. Kauffman; T. A. Weber 

Journal Of Management Information Systems. 2022-07-03. Vol. 39, num. 3, p. 824-833. DOI : 10.1080/07421222.2022.2096552.

Optimal Matching of Random Parts

T. A. Weber 

Journal of Mathematical Economics. 2022-08-22. Vol. 101, p. 1-14, 102688. DOI : 10.1016/j.jmateco.2022.102688.

Dual Approach for Two-Stage Robust Nonlinear Optimization

F. J. C. T. de Ruiter; J. Zhen; D. den Hertog 

Operations Research. 2022-04-01. DOI : 10.1287/opre.2022.2289.

Identity-Society (Mis)Alignment And The Instrumentalization Of Firm Creation: Creative Destruction And Creative Reconstruction

S. Foy; M. Gruber 

Academy Of Management Journal. 2022-04-01. Vol. 65, num. 2, p. 479-515. DOI : 10.5465/amj.2019.0754.

Metrizing Fairness

Y. Rychener; B. Taskesen; D. Kuhn 


Managing Perishability in the Fruit and Vegetable Supply Chains

M. Kirci; O. Isaksson; R. Seifert 

Sustainability. 2022-05-01. Vol. 14, num. 9, p. 5378. DOI : 10.3390/su14095378.

Optimal recovery of unsecured debt via interpretable reinforcement learning

M. Mark; N. Chehrazi; H. Liu; T. A. Weber 

Machine Learning with Applications. 2022. Vol. 8, p. 1-9, 100280. DOI : 10.1016/j.mlwa.2022.100280.

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

R. Y. Glogg; A. Timonina-Farkas; R. Seifert 

Computational Management Science. 2022-02-28. DOI : 10.1007/s10287-022-00421-3.

Why Do Companies Need Operational Flexibility to Achieve Sustainability at Source?

Y. K. Elalem; I. Bicer; R. W. Seifert 

Sustainability. 2022. Vol. 14, num. 1, p. 367. DOI : 10.3390/su14010367.

Topological Linear System Identification via Moderate Deviations Theory

W. Jongeneel; T. Sutter; D. Kuhn 

IEEE Control Systems Letters. 2022. Vol. 6, p. 307-312. DOI : 10.1109/LCSYS.2021.3072814.

The Open Innovation in Science research field: a collaborative conceptualisation approach

S. Beck; C. Bergenholtz; M. Bogers; T-M. Brasseur; M. L. Conradsen et al. 

Industry And Innovation. 2022. Vol. 29, num. 2, p. 136-185. DOI : 10.1080/13662716.2020.1792274.

Quantifying Endogeneity of Cryptocurrency Markets

M. Mark; J. Sila; T. A. Weber 

European Journal of Finance. 2022. Vol. 28, num. 7, p. 784—799. DOI : 10.1080/1351847X.2020.1791925.

On Linear Optimization over Wasserstein Balls

M-C. Yue; D. Kuhn; W. Wiesemann 

Mathematical Programming. 2022. Vol. 195, num. 1-2, p. 1107–1122. DOI : 10.1007/s10107-021-01673-8.

Robust Multidimensional Pricing: Separation without Regret

C. Kocyigit Yalcin; N. Rujeerapaiboon; D. Kuhn 

Mathematical Programming. 2022. Vol. 196, p. 841–874. DOI : 10.1007/s10107-021-01615-4.

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

V. A. Nguyen; D. Kuhn; P. Mohajerin Esfahani 

Operations Research. 2022. Vol. 70, num. 1, p. 490-515. DOI : 10.1287/opre.2020.2076.

Scenario Reduction Revisited: Fundamental Limits and Guarantees

N. Rujeerapaiboon; K. Schindler; D. Kuhn; W. Wiesemann 

Mathematical Programming. 2022. Vol. 191, p. 207–242. DOI : 10.1007/s10107-018-1269-1.

Conference Papers

Minimum Cost Intervention Design for Causal Effect Identification

S. Akbari; J. Etesami; N. Kiyavash 

2022. International Conference on Machine Learning 2022, Baltimore, USA, DOI : 10.48550/arxiv.2205.02232.

Revisiting the General Identifiability Problem

Y. Kivva; E. Mokhtarian; J. Etesami; N. Kiyavash 

2022. Uncertainty in Artificial Intelligence, Eindhoven, Netherlands, August 2nd – August 4th, 2022. p. 1022-1030.

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

S. Masiha; S. Salehkaleybar; N. He; N. Kiyavash; P. Thiran 


Causal Effect Identification with Context-specific Independence Relations of Control Variables

E. Mokhtarian; F. Jamshidi; J. Etesami; N. Kiyavash 

2022-01-01. International Conference on Artificial Intelligence and Statistics, ELECTR NETWORK, Mar 28-30, 2022.


Political Economies of Energy Transition: Wind and Solar Power in Brazil and South Africa

M. Aklin 

Political Science Quarterly. 2022. Vol. 137, num. 2, p. 424-426. DOI : 10.1002/polq.13323.


Vehicle-to-Grid for Reliable Frequency Regulation

D. Lauinger / D. Kuhn; F. R. Vuille (Dir.)  

Lausanne, EPFL, 2022. 

Self-Exciting Point Processes: Identification and Control

M. Mark / T. A. Weber (Dir.)  

Lausanne, EPFL, 2022. 

Book Chapters

Renewable Energy, Energy Poverty, and Climate Change

M. Aklin 

The Oxford Handbook of Comparative Environmental Politics; New York, NY: Oxford University Press, 2022. p. 658-678.

Nothing New Under the Sun: Novelty Constructs and Measures in Social Studies

D. Bavato 

The Generation, Recognition and Legitimation of Novelty; Bingley: Emerald Publishing Limited, 2022-01-20. p. 27-49.

Working Papers

Power Shifts, Emigration, and Population Sorting

M. Aklin; V. Eichenauer 



Jharkhand Rural Energy Access: Enduring Challenges in Quality, Affordability, and Billing

B. Diksha; M. Aklin; B. Blankenship; V. Nanda; J. Urpelainen 


Targeting Agricultural Electricity Subsidies in Haryana

A. Viswamohanan; S. Shruti; M. Aklin; T. Moerenhout 



Enable a just transition for American fossil fuel workers through federal action

M. Aklin; J. Urpelainen 



Journal Articles

The Side Effects of Central Bank Independence

M. Aklin; A. Kern 

American Journal of Political Science. 2021. Vol. 65, num. 4, p. 971-987. DOI : 10.1111/ajps.12580.

Working Papers

Does Central Bank Independence Increase Inequality?

M. Aklin; A. Kern; M. Negre 



How to Target LPG Subsidies in India: Step 2. Evaluating policy options in Jharkhand

S. Sharma; T. Moerenhout; M. Aklin; K. Bajaj 


Policy Briefs