Theo Diamandis

According to our database, Theo Diamandis authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving the Convex Flow Problem.

Theo Diamandis, Guillermo Angeris

CoRR, 2024

An Analysis of Intent-Based Markets.

Tarun Chitra, Kshitij Kulkarni, Mallesh Pai, Theo Diamandis

CoRR, 2024

Multidimensional Blockchain Fees are (Essentially) Optimal.

Guillermo Angeris, Theo Diamandis, Ciamac Moallemi

CoRR, 2024

2023

The Specter (and Spectra) of Miner Extractable Value.

Guillermo Angeris, Tarun Chitra, Theo Diamandis, Kshitij Kulkarni

CoRR, 2023

A Note on the Welfare Gap in Fair Ordering.

Theo Diamandis, Guillermo Angeris

CoRR, 2023

Routing MEV in Constant Function Market Makers.

Kshitij Kulkarni, Theo Diamandis, Tarun Chitra

Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Concave Pro-rata Games.

Nicholas A. G. Johnson, Theo Diamandis, Alex Evans, Henry de Valence, Guillermo Angeris

Proceedings of the Financial Cryptography and Data Security. FC 2023 International Workshops, 2023

An Efficient Algorithm for Optimal Routing Through Constant Function Market Makers.

Theo Diamandis, Max Resnick, Tarun Chitra, Guillermo Angeris

Proceedings of the Financial Cryptography and Data Security, 2023

Designing Multidimensional Blockchain Fee Markets.

Theo Diamandis, Alex Evans, Tarun Chitra, Guillermo Angeris

Proceedings of the 5th Conference on Advances in Financial Technologies, 2023

2022

Dynamic Pricing for Non-fungible Resources.

Theo Diamandis, Alex Evans, Tarun Chitra, Guillermo Angeris

CoRR, 2022

Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers.

Kshitij Kulkarni, Theo Diamandis, Tarun Chitra

CoRR, 2022

2021

A Wasserstein Minimax Framework for Mixed Linear Regression.

Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar

Proceedings of the 38th International Conference on Machine Learning, 2021

2018

Ranking causal influence of financial markets via directed information graphs.

Theo Diamandis, Yonathan Murin, Andrea Goldsmith

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018