Learning Trust Over Directed Graphs in Multiagent Systems (extended version). - Orhan Eren Akgün; Arif Kerem Dayi; Stephanie Gil; Angelia Nedic (CoRR, 2022)

Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things. - Arif Kerem Dayi; Volkan Rodoplu; Mert Nakip; Buse Pehlivan; Cüneyt Güzelis (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

Learning Trust Over Directed Graphs in Multiagent Systems. - Orhan Eren Akgün; Arif Kerem Dayi; Stephanie Gil; Angelia Nedich (L4DC, 2023)

Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version). - Orhan Eren Akgün; Arif Kerem Dayi; Stephanie Gil; Angelia Nedic (CoRR, 2023)

Projected Push-Pull for Distributed Constrained Optimization Over Time-Varying Directed Graphs. - Orhan Eren Akgün; Arif Kerem Dayi; Stephanie Gil; Angelia Nedic (ACC, 2024)

Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust. - Arif Kerem Dayi; Orhan Eren Akgün; Stephanie Gil; Michal Yemini; Angelia Nedic (CoRR, 2024)

Gradient dynamics for low-rank fine-tuning beyond kernels. - Arif Kerem Dayi; Sitan Chen (CoRR, 2024)

Low-rank fine-tuning lies between lazy training and feature learning. - Arif Kerem Dayi; Sitan Chen (COLT, 2025)

Learning from Synthetic Labs: Language Models as Auction Participants. - Anand Shah; Kehang Zhu; Yanchen Jiang; Jeffrey G. Wang; Arif Kerem Dayi; John J. Horton; David C. Parkes (CoRR, 2025)