Approximate Majority with Catalytic Inputs. - Talley Amir; James Aspnes; John Lazarsfeld (OPODIS, 2020)

Consistency of the Maximal Information Coefficient Estimator. - John Lazarsfeld; Aaron Johnson 001 (CoRR, 2021)

Differentially Private Maximal Information Coefficients. - John Lazarsfeld; Aaron Johnson 001; Emmanuel Adéníran (ICML, 2022)

Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction. - John Lazarsfeld; Jonathan Rodríguez; Mert Erden; Yuelin Liu; Lenore J. Cowen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

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 (PODC, 2023)

Decentralized Learning Dynamics in the Gossip Model. - John Lazarsfeld; Dan Alistarh (CoRR, 2023)

Repeated Game Dynamics in Population Protocols. - Dan Alistarh; Krishnendu Chatterjee; Mehrdad Karrabi; John Lazarsfeld (CoRR, 2023)

Game Dynamics and Equilibrium Computation in the Population Protocol Model. - Dan Alistarh; Krishnendu Chatterjee; Mehrdad Karrabi; John Lazarsfeld (PODC, 2024)

Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play. - John Lazarsfeld; Georgios Piliouras; Ryann Sim; Andre Wibisono (COLT, 2025)

Optimistic Online Learning in Symmetric Cone Games. - Anas Barakat; Wayne Lin; John Lazarsfeld; Antonios Varvitsiotis (CoRR, 2025)

Optimism Without Regularization: Constant Regret in Zero-Sum Games. - John Lazarsfeld; Georgios Piliouras; Ryann Sim; Stratis Skoulakis (CoRR, 2025)

Multi-Agent Online Control with Adversarial Disturbances. - Anas Barakat; John Lazarsfeld; Georgios Piliouras; Antonios Varvitsiotis (CoRR, 2025)