2026 Afshin Rostamizadeh: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	10976	10668	4564	4373	70	12114

Overview

Afshin Rostamizadeh is a researcher primarily affiliated with Google in the United States. Their work is situated within the field of Computer Science, with a focus on several subfields, including Artificial Intelligence, Information Systems, Computer Science Applications, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The main topics covered in their research include Machine Learning and Algorithms, Natural Language Processing Techniques, Machine Learning and Data Classification, Topic Modeling, Text Readability and Simplification, Data Stream Mining Techniques, and Software System Performance and Reliability.

Afshin Rostamizadeh's recent publications reflect an active engagement with contemporary machine learning challenges. Notable papers include:

"Batch Active Learning at Scale" (2021, arXiv (Cornell University))
"Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms" (2020, arXiv (Cornell University))
"An Analysis of SVD for Deep Rotation Estimation" (2020, arXiv (Cornell University))
"Is margin all you need? An extensive empirical study of active learning on tabular data" (2022, arXiv (Cornell University))
"DistillSpec: Improving Speculative Decoding via Knowledge Distillation" (2023, arXiv (Cornell University))

These papers have accumulated citations ranging from four to forty-seven, indicating ongoing academic engagement and recognition within their research community.

The researcher frequently collaborates with other scholars, having worked several times with coauthors including Sanjiv Kumar, Heinrich Jiang, Gui Citovsky, Giulia DeSalvo, and Lazaros Karydas.

Afshin Rostamizadeh publishes predominantly through the arXiv platform affiliated with Cornell University, with thirteen publications listed, as well as a contribution to the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Best Publications

Foundations of Machine Learning

Mehryar Mohri;Afshin Rostamizadeh;Afshin Rostamizadeh;Ameet Talwalkar;Ameet Talwalkar

3700
Citations
Hyperband: a novel bandit-based approach to hyperparameter optimization

Lisha Li;Kevin Jamieson;Giulia DeSalvo;Afshin Rostamizadeh

2095
Citations
Domain adaptation: Learning bounds and algorithms

Yishay Mansour;Mehryar Mohri;Afshin Rostamizadeh

605
Citations
Algorithms for learning kernels based on centered alignment

Corinna Cortes;Mehryar Mohri;Afshin Rostamizadeh

494
Citations
Domain Adaptation with Multiple Sources

Yishay Mansour;Mehryar Mohri;Afshin Rostamizadeh

488
Citations
L 2 regularization for learning kernels

Corinna Cortes;Mehryar Mohri;Afshin Rostamizadeh

445
Citations
Sample Selection Bias Correction Theory

Corinna Cortes;Mehryar Mohri;Michael Riley;Afshin Rostamizadeh

385
Citations
Learning Non-Linear Combinations of Kernels

Corinna Cortes;Mehryar Mohri;Afshin Rostamizadeh

361
Citations
The Foundations of Machine Learning

Mehryar Mohri;Afshin Rostamizadeh;Ameet Talwalkar

295
Citations
Two-Stage Learning Kernel Algorithms

Corinna Cortes;Mehryar Mohri;Afshin Rostamizadeh

222
Citations
A System for Massively Parallel Hyperparameter Tuning

Liam Li;Kevin G. Jamieson;Afshin Rostamizadeh;Ekaterina Gonina

189
Citations
Balancing traffic load in wireless networks with curveball routing

Lucian Popa;Afshin Rostamizadeh;Richard Karp;Christos Papadimitriou

164
Citations
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits

Afshin Rostamizadeh;Ameet Talwalkar;Giulia DeSalvo;Kevin Jamieson

153
Citations
Stability Bounds for Stationary φ-mixing and β-mixing Processes

Mehryar Mohri;Afshin Rostamizadeh

146
Citations
Generalization Bounds for Learning Kernels

Corinna Cortes;Mehryar Mohri;Afshin Rostamizadeh

142
Citations
Multiple source adaptation and the Rényi divergence

Yishay Mansour;Mehryar Mohri;Afshin Rostamizadeh

134
Citations
Learning Prices for Repeated Auctions with Strategic Buyers

Kareem Amin;Afshin Rostamizadeh;Umar Syed

130
Citations
Massively Parallel Hyperparameter Tuning

Liam Li;Kevin G. Jamieson;Afshin Rostamizadeh;Ekaterina Gonina

128
Citations
Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization

Lisha Li;Kevin Jamieson;Giulia DeSalvo;Afshin Rostamizadeh

110
Citations
Repeated Contextual Auctions with Strategic Buyers

Kareem Amin;Afshin Rostamizadeh;Umar Syed

107
Citations
Rademacher Complexity Bounds for Non-I.I.D. Processes

Mehryar Mohri;Afshin Rostamizadeh

86
Citations
A System for Massively Parallel Hyperparameter Tuning

Liam Li;Kevin Jamieson;Afshin Rostamizadeh;Ekaterina Gonina

37
Citations

Frequent Co-Authors

Mehryar Mohri Google (United States)

Corinna Cortes Google (United States)

Ameet Talwalkar Carnegie Mellon University

Sanjiv Kumar Google (United States)

Yishay Mansour Tel Aviv University

Vahab Mirrokni Google (United States)

Alexandros G. Dimakis The University of Texas at Austin

Sujay Sanghavi The University of Texas at Austin

Benjamin Recht University of California, Berkeley

Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence

External Links

Personal website of Afshin Rostamizadeh

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