John Lazarsfeld

According to our database, John Lazarsfeld authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation.

John Lazarsfeld, Anas Barakat, Georgios Piliouras, Antonios Varvitsiotis, Andre Wibisono

CoRR, May, 2026

Optimistic Online Learning in Symmetric Cone Games.

Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis

Trans. Mach. Learn. Res., 2026

2025

Multi-Agent Online Control with Adversarial Disturbances.

Anas Barakat, John Lazarsfeld, Georgios Piliouras, Antonios Varvitsiotis

CoRR, June, 2025

Optimism Without Regularization: Constant Regret in Zero-Sum Games.

John Lazarsfeld, Georgios Piliouras, Ryann Sim, Stratis Skoulakis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play.

John Lazarsfeld, Georgios Piliouras, Ryann Sim, Andre Wibisono

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Game Dynamics and Equilibrium Computation in the Population Protocol Model.

Dan Alistarh, Krishnendu Chatterjee, Mehrdad Karrabi, John Lazarsfeld

Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing, 2024

2023

Repeated Game Dynamics in Population Protocols.

Dan Alistarh, Krishnendu Chatterjee, Mehrdad Karrabi, John Lazarsfeld

CoRR, 2023

Decentralized Learning Dynamics in the Gossip Model.

John Lazarsfeld, Dan Alistarh

CoRR, 2023

Fast Convergence of k-Opinion Undecided State Dynamics in the Population Protocol Model.

Talley Amir, James Aspnes, Petra Berenbrink, Felix Biermeier, Christopher Hahn, Dominik Kaaser, John Lazarsfeld

Proceedings of the 2023 ACM Symposium on Principles of Distributed Computing, 2023

2022

Differentially Private Maximal Information Coefficients.

John Lazarsfeld, Aaron Johnson, Emmanuel Adéníran

Proceedings of the International Conference on Machine Learning, 2022

2021

Consistency of the Maximal Information Coefficient Estimator.

John Lazarsfeld, Aaron Johnson

CoRR, 2021

2020

Approximate Majority with Catalytic Inputs.

Talley Amir, James Aspnes, John Lazarsfeld

Proceedings of the 24th International Conference on Principles of Distributed Systems, 2020

2019

Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction.

John Lazarsfeld, Jonathan Rodríguez, Mert Erden, Yuelin Liu, Lenore J. Cowen

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019