Atilla Eryılmaz
Engineering · The Ohio State University
Publications
255
Citations
5,079
Est. group size
~7
Recurring co-author estimate
Active years
26
Publishing since 2001
Atilla Eryılmaz works on the theory and algorithms behind computer networks and decision-making systems, including how to efficiently schedule, cache, and deliver data (like video streaming or content delivery) over wireless and wired networks. His work also spans learning-based methods such as multi-armed bandits (algorithms for making sequential decisions under uncertainty) and analysis of neural network training, applying mathematical optimization and control theory to communication systems.
Publication output has been fairly steady over the last decade, fluctuating between roughly 5 and 19 papers per year without a clear long-term increase or decline.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
2026
- Structure-Informed Online Bandwidth Allocation for Heterogeneous Real-Time Synchronized Streaming
2026
- Finite-Time Analysis of Gradient Descent for Shallow Transformers
arXiv (Cornell University) · 2026
- Finite-Time Analysis of Gradient Descent for Shallow Transformers
arXiv (Cornell University) · 2026
- An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
arXiv (Cornell University) · 2026
- An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
arXiv (Cornell University) · 2026
- PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks
arXiv (Cornell University) · 2026
- PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks
arXiv (Cornell University) · 2026
- Priority-Aware Encoding for Bandwidth-Efficient Real-Time Classification in 5G Networks
2026
- State-Independent Control for Constrained Markov Decision Processes With Birth-Death Dynamics
IEEE Transactions on Networking · 2025
- Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
SIAM Journal on Mathematics of Data Science · 2025
- Optimal Push and Pull-Based Edge Caching for Dynamic Content
IEEE/ACM Transactions on Networking · 2024
- Optimal Push and Pull-Based Edge Caching For Dynamic Content
arXiv (Cornell University) · 2024
- Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
arXiv (Cornell University) · 2024
- SwiftCache: Model-Based Learning for Dynamic Content Caching in CDNs
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×28
- IEEE/ACM Transactions on Networking×18
- IEEE Transactions on Networking×5
- IEEE Conference Proceedings×5
- ACM SIGMETRICS Performance Evaluation Review×4
- Ness B. Shroff
Engineering · The Ohio State University
- Xiaojun Lin
Engineering · Purdue University West Lafayette
- Mung Chiang
Engineering · Purdue University West Lafayette
- Xiaojun Lin
Engineering · Purdue University West Lafayette
- Irem Koprulu
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile