Afshin Rostamizadeh

Computer Science · Physical Sciences

32h-index7.4kcitations82works0.22yr avg
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Research Topics

Machine Learning and Algorithms(28), Sparse and Compressive Sensing Techniques(20), Machine Learning and Data Classification(19), Domain Adaptation and Few-Shot Learning(13), Face and Expression Recognition(12)

Publications82 total

This Time is Different: An Observability Perspective on Time Series Foundation Models
arXiv (Cornell University)·2025Open Access
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
arXiv (Cornell University)·2025Open Access
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
arXiv (Cornell University)·2024· 1 citedOpen Access
SoftSRV: Learn to Generate Targeted Synthetic Data
arXiv (Cornell University)·2024Open Access
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection
arXiv (Cornell University)·2024Open Access
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
arXiv (Cornell University)·2023· 4 citedOpen Access
Leveraging Importance Weights in Subset Selection
arXiv (Cornell University)·2023Open Access
Is margin all you need? An extensive empirical study of active learning on tabular data
arXiv (Cornell University)·2022· 4 citedOpen Access
Vexation-Aware Active Learning for On-Menu Restaurant Dish Availability
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022Open Access
Batch Active Learning at Scale
Neural Information Processing Systems·2021
Learning with Labeling Induced Abstentions
Neural Information Processing Systems·2021
Batch Active Learning at Scale
arXiv (Cornell University)·2021· 47 citedOpen Access
Active Covering
International Conference on Machine Learning·2021
Active Covering
arXiv (Cornell University)·2021Open Access
Active Covering
arXiv (Cornell University)·2021Open Access
Churn Reduction via Distillation
arXiv (Cornell University)·2021· 2 citedOpen Access
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
International Conference on Learning Representations·2021· 9 cited
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
arXiv (Cornell University)·2020· 38 citedOpen Access
An Analysis of SVD for Deep Rotation Estimation
arXiv (Cornell University)·2020· 32 citedOpen Access
An Analysis of SVD for Deep Rotation Estimation
Neural Information Processing Systems·2020· 12 cited
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Frequent Co-authors

Mehryar Mohri(22), Corinna Cortes(11), Ameet Talwalkar(10), Kevin Jamieson(8), Giulia DeSalvo(5), Lisha Li(4), Yishay Mansour(4), Umar Syed(4), Liam Li(3), Ekaterina Gonina(3), Moritz Hardt(3), Benjamin Recht(3), Dmitry Storcheus(3), Eric P. Xing(3), Ion Stoica(2), Kareem Amin(2), Sanjiv Kumar(2), Alexandros G. Dimakis(2), Maruan Al-Shedivat(2), Jennifer Gillenwater(2)