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Kaan Ozkara
Observed name:
Ozkara, Kaan
Institution:
Amazon (United States)
Observed institutions:
Amazon (United States),
University of California, Los Angeles
ORCID:
0000-0001-8382-9911
Observed ORCID:
0000-0001-8382-9911
OpenAlex ID:
A5061122810
MuonBP: Faster Muon via Block-Periodic Orthogonalization
2025
·
Khaled, Ahmed
, Ozkara, Kaan
, et al.
·
arXiv (Cornell University)
·
32
PDF
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
2021
·
Ozkara, Kaan
, Singh, Navjot
, et al.
·
arXiv (Cornell University)
·
32
PDF
QuPeL: Quantized Personalization with Applications to Federated Learning
2021
·
Ozkara, Kaan
, Singh, Navjot
, et al.
·
arXiv (Cornell University)
·
5
PDF
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
2024
·
Ozkara, Kaan
, Karakus, Can
, et al.
·
arXiv (Cornell University)
·
3
PDF
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
2022
·
Ozkara, Kaan
, Girgis, Antonious M.
, et al.
·
arXiv (Cornell University)
·
2
PDF
How to Train Your Little Dragon: Teaching a Small Language Model to Construct and Refine GPU Optimization Scripts
2026
·
Tang, Annabelle Sujun
, Tang, Wei
, et al.
·
arXiv (Cornell University)
·
1
PDF
Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models
2026
·
Deng, Wenlong
, Huang, Jiaji
, et al.
·
arXiv (Cornell University)
·
1
PDF
MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
2025
·
Gudipaty, Krishna Praneet
, Hanafy, Walid A.
, et al.
·
arXiv (Cornell University)
·
1
PDF
Compatibility Matters: A Framework for Token-Level Teacher Selection in On-Policy Distillation
2026
·
Wei, Stanley
, Woo, Jiin
, et al.
·
arXiv (Cornell University)
PDF
Optimizing Large Language Models with Chained LMOs
2026
·
Kim, Sungyoon
, Ozkara, Kaan
, et al.
·
arXiv (Cornell University)
PDF
Teaching LLMs to Write System Kernels for AI Accelerators: Post-Training, Reasoning, and Agentic Optimization
2026
·
Youngsuk Park
, Rajarshi Saha
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
SPIRE: Conditional Personalization for Federated Diffusion Generative Models
2025
·
Ozkara, Kaan
, Zhou, Ruida
, et al.
·
arXiv (Cornell University)
PDF
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
2024
·
Ozkara, Kaan
, Huang, Bruce
, et al.
·
arXiv (Cornell University)
PDF
Personalized PCA for Federated Heterogeneous Data
2023
·
Kaan Ozkara
, Bruce Huang
, et al.
·
IEEE International Symposium on Information Theory (ISIT)
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Works count:
18
Citation count:
87
H-index:
4
I10-index:
3
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