Chenyu Zhang

News

2026-11-11 Invited to speak at the 2026 INFORMS Annual Meeting in session Information Design, Trust, and Incentives.
2026-02-23 Invited to give a talk at the Learning from Heterogeneous Sources workshop at the Simons Institute for the Theory of Computing.
2026-01-26 Our paper enabling collaboration between arbitrarily heterogeneous agents for fully personalized solutions with adaptive affinity-based speedup is accepted to ICLR 2026.
2025-11-05 Invited to present at the inaugural Jump Trading's AI Research Symposium.
2025-04-25 Our paper unifying iteration and operation complexity analysis of Riemannian trust region and general-order adaptive regularization methods (and more!) is published in COAP.
2025-01-22 Our paper proposing learning mean field games with a simple SGD and population-aware function approximation is accepted to ICLR 2025.
2024-05-01 Our paper developing a new formulation and a learning method for discontinuous graphon games is accepted to ICML 2024.
2024-04-15 My PhD application journey has concluded. A heartfelt thank you to everyone who supported me! I am excited to join MIT LIDS & IDSS in Fall 2024.
2024-01-16 Our paper on federated reinforcement learning with heterogeneous agents is accepted to ICLR 2024.

Research [CV]

I study multi-agent decision-making through the lens of learning, statistics, optimization, control, games, and networks.

My long-term research goal is to combine efficient optimization methods and tailored machine learning frameworks with strong theoretical guarantees to address societal challenges.

%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#00876255'}}}%% flowchart LR A[Social Efficiency] <--> B B[Learning Efficiency] <--> C C[Computational Efficiency] <--> D D[Architectural Efficiency]

View some dimensions of my current research.