Kaan Ozkara - RankMe

15 papers A* 3A 2B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. AISTATS Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi
2025	J	`jnl`	MEL: Multi-level Ensemble Learning for Resource-Constrained Environments. CoRR Krishna Praneet Gudipaty, Walid A. Hanafy, Kaan Ozkara, Qianlin Liang, Jesse Milzman, Prashant J. Shenoy, Suhas N. Diggavi
2025	J	`jnl`	MuonBP: Faster Muon via Block-Periodic Orthogonalization. CoRR Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park
2025	J	`jnl`	SPIRE: Conditional Personalization for Federated Diffusion Generative Models. CoRR Kaan Ozkara, Ruida Zhou, Suhas N. Diggavi
2025	A	`conf`	Stochastic Rounding for LLM Training: Theory and Practice. AISTATS Kaan Ozkara, Tao Yu, Youngsuk Park
2025	J	`jnl`	Stochastic Rounding for LLM Training: Theory and Practice. CoRR Kaan Ozkara, Tao Yu, Youngsuk Park
2024	J	`jnl`	Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. CoRR Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi
2024	A*	`conf`	MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. ICML Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2024	J	`jnl`	MADA: Meta-Adaptive Optimizers through hyper-gradient Descent. CoRR Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher
2023	A*	`conf`	A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy. ICLR Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2023	B	`conf`	Personalized PCA for Federated Heterogeneous Data. ISIT Kaan Ozkara, Bruce Huang, Suhas N. Diggavi
2022	J	`jnl`	A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy. CoRR Kaan Ozkara, Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi
2021	A*	`conf`	QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. NeurIPS Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi
2021	J	`jnl`	QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. CoRR Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi
2021	J	`jnl`	QuPeL: Quantized Personalization with Applications to Federated Learning. CoRR Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi