2022

Yamashita, TakuroORCID: https://orcid.org/0000-0002-2008-8375 and Smolin, Alex (2022) Information design in concave games. In: EC'22: Proceedings of the 23rd ACM Conference on Economics and Computation. Pennock, David M. (ed.) Association for Computing Machinery. Series “ACM Conferences.” New-York. p. 870. ISBN 978-1-4503-9150-4

Yamashita, TakuroORCID: https://orcid.org/0000-0002-2008-8375 and Smolin, Alex (2022) Information Design in Concave Games. TSE Working Paper, n. 22-1313, Toulouse, France

Bergemann, Dirk, Bonatti, Alessandro, Haupt, Andreas and Smolin, Alex (2022) The Optimality of Upgrade Pricing. In: Web and Internet economics: 17th International Conference, WINE 2021, December 14–17, 2021 Feldman, Michal, Hu, Fu and Talgam-Cohen, Inbal (eds.) Springer International Publishing. Series “Lecture Notes in Computer Science : vol.13112” Cham pp. 41-58. ISBN 9783030946753

2023

Smolin, Alex (2023) Disclosure and Pricing of Attributes. RAND Journal of Economics, vol. 54 (n° 4). pp. 570-597.

Garrett, Daniel F.ORCID: https://orcid.org/0000-0001-9541-6612, Georgiadis, George, Smolin, Alex and Szentes, Balazs (2023) Optimal technology design. Journal of Economic Theory, Vol. 209.

2024

Doval, Laura and Smolin, Alex (2024) Persuasion and Welfare. Journal of Political Economy, Vol. 132 (N° 7). pp. 2451-2487.

2025

Ichihashi, Shota and Smolin, Alex (2025) Buyer-Optimal Algorithmic Recommendations. TSE Working Paper, n. 25-1672, Toulouse

Ichihashi, Shota and Smolin, Alex (2025) Data Provision to an Informed Seller. Games and Economic Behavior, vol. 153. pp. 131-144.

Bergemann, Dirk, Bonatti, Alessandro and Smolin, Alex (2025) The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing. TSE Working Paper, n. 25-1670, Toulouse

Smolin, Alex and Yamashita, TakuroORCID: https://orcid.org/0000-0002-2008-8375 (2025) Information Design in Smooth Games. TSE Working Paper, n. 25-1671, Toulouse

Bergemann, Dirk, Bonatti, Alessandro and Smolin, Alexey (2025) The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing. [UNSPECIFIED]

Ichihashi, Shota and Smolin, Alexey (2025) Buyer-Optimal Algorithmic Recommendations. [UNSPECIFIED]

Doval, Laura and Smolin, Alex (2025) The welfare impact of recommendation algorithms. ACM SIGecom Exchanges, vol. 22 (n°2). pp. 56-65.

2026

Doval, Laura and Smolin, AlexORCID: https://orcid.org/0000-0003-4740-2376 (2026) Calibrated Mechanism Design. TSE Working Paper, n. 26-1718, Toulouse

Dworczak, Piotr and Smolin, Alex (2026) Robust Trust. TSE Working Paper, n. 26-1709, Toulouse