Maxwell Fishelson

According to our database, Maxwell Fishelson authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Full Swap Regret and Discretized Calibration.

Maxwell Fishelson, Robert Kleinberg, Princewill Okoroafor, Renato Paes Leme, Jon Schneider, Yifeng Teng

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games.

Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Charilaos Pipis, Jon Schneider

CoRR, 2024

Improved bounds for calibration via stronger sign preservation games.

Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich, Robert Kleinberg, Princewill Okoroafor

CoRR, 2024

From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces.

Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023

From External to Swap Regret 2.0: An Efficient Reduction and Oblivious Adversary for Large Action Spaces.

Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich

CoRR, 2023

Online Learning and Solving Infinite Games with an ERM Oracle.

Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell K. Fishelson

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Multi-Item Nontruthful Auctions Achieve Good Revenue.

Constantinos Daskalakis, Maxwell Fishelson, Brendan Lucier, Vasilis Syrgkanis, Santhoshini Velusamy

SIAM J. Comput., 2022

Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games.

Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

2021

Pattern Avoidance Over a Hypergraph.

Benjamin Gunby, Maxwell Fishelson

Electron. J. Comb., 2021

Near-Optimal No-Regret Learning in General Games.

Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Simple, Credible, and Approximately-Optimal Auctions.

Constantinos Daskalakis, Maxwell Fishelson, Brendan Lucier, Vasilis Syrgkanis, Santhoshini Velusamy

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020