Rostamizadeh, Afshin

35 publications

NeurIPS 2025 Analyzing Similarity Metrics for Data Selection for Language Model Pretraining Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar

ICLRW 2025 SoftSRV: Learn to Generate Targeted Synthetic Data. Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Afshin Rostamizadeh, Sanjiv Kumar

NeurIPS 2025 This Time Is Different: An Observability Perspective on Time Series Foundation Models Ben Cohen, Emaad Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ramé, Qiqi Ren, Afshin Rostamizadeh, Jean Ogier du Terrail, Anna-Monica Toon, Kan Wang, Stephan Xie, Zongzhe Xu, Viktoriya Zhukova, David Asker, Ameet Talwalkar, Othmane Abou-Amal

ICLR 2024 DistillSpec: Improving Speculative Decoding via Knowledge Distillation Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal

ICLR 2023 Leveraging Importance Weights in Subset Selection Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang

ICLR 2022 Churn Reduction via Distillation Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh

ICML 2021 Active Covering Heinrich Jiang, Afshin Rostamizadeh

NeurIPS 2021 Batch Active Learning at Scale Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

ICLR 2021 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh

NeurIPS 2021 Learning with Labeling Induced Abstentions Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh

NeurIPS 2020 An Analysis of SVD for Deep Rotation Estimation Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia

AISTATS 2020 Understanding the Effects of Batching in Online Active Learning Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

ICML 2019 Categorical Feature Compression via Submodular Optimization Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab Mirrokni, Afshin Rostamizadeh

ICML 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

ICLR 2017 Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

ICML 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms Jason Altschuler, Aditya Bhaskara, Gang Fu, Vahab Mirrokni, Afshin Rostamizadeh, Morteza Zadimoghaddam

AAAI 2015 Scalable and Interpretable Data Representation for High-Dimensional, Complex Data Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah

NeurIPS 2014 Repeated Contextual Auctions with Strategic Buyers Kareem Amin, Afshin Rostamizadeh, Umar Syed

NeurIPS 2013 Learning Prices for Repeated Auctions with Strategic Buyers Kareem Amin, Afshin Rostamizadeh, Umar Syed

ICML 2013 Multi-Class Classification with Maximum Margin Multiple Kernel Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

JMLR 2012 Algorithms for Learning Kernels Based on Centered Alignment Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

UAI 2011 Ensembles of Kernel Predictors Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

UAI 2011 Learning with Missing Features Afshin Rostamizadeh, Alekh Agarwal, Peter L. Bartlett

ICML 2010 Generalization Bounds for Learning Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

UAI 2010 Matrix Coherence and the Nystrom Method Ameet Talwalkar, Afshin Rostamizadeh

JMLR 2010 Stability Bounds for Stationary -mixing and -mixing Processes Mehryar Mohri, Afshin Rostamizadeh

ICML 2010 Two-Stage Learning Kernel Algorithms Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

COLT 2009 Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

UAI 2009 L2 Regularization for Learning Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

NeurIPS 2009 Learning Non-Linear Combinations of Kernels Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

UAI 2009 Multiple Source Adaptation and the Rényi Divergence Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

NeurIPS 2008 Domain Adaptation with Multiple Sources Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes Mehryar Mohri, Afshin Rostamizadeh

ALT 2008 Sample Selection Bias Correction Theory Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh

NeurIPS 2007 Stability Bounds for Non-I.i.d. Processes Mehryar Mohri, Afshin Rostamizadeh