Afshin Rostamizadeh

According to our database, Afshin Rostamizadeh authored at least 58 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection.

Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar

CoRR, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Leveraging Importance Weights in Subset Selection.

Gui Citovsky, Giulia DeSalvo, Sanjiv Kumar, Srikumar Ramalingam, Afshin Rostamizadeh, Yunjuan Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Is margin all you need? An extensive empirical study of active learning on tabular data.

Dara Bahri, Heinrich Jiang, Tal Schuster, Afshin Rostamizadeh

CoRR, 2022

Vexation-Aware Active Learning for On-Menu Restaurant Dish Availability.

Jean-François Kagy, Flip Korn, Afshin Rostamizadeh, Chris Welty

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Churn Reduction via Distillation.

Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Batch Active Learning at Scale.

Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Labeling Induced Abstentions.

Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Active Covering.

Heinrich Jiang, Afshin Rostamizadeh

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.

Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

An Analysis of SVD for Deep Rotation Estimation.

Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A System for Massively Parallel Hyperparameter Tuning.

Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Understanding the Effects of Batching in Online Active Learning.

Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels.

Shuang Song, David Berthelot, Afshin Rostamizadeh

CoRR, 2019

The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation.

Jean-François Kagy, Tolga Kayadelen, Ji Ma, Afshin Rostamizadeh, Jana Strnadová

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

CoRR, 2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.

Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

Proceedings of the 36th International Conference on Machine Learning, 2019

Categorical Feature Compression via Submodular Optimization.

MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Massively Parallel Hyperparameter Tuning.

Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

CoRR, 2018

The Sparse Recovery Autoencoder.

Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

CoRR, 2018

2017

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

J. Mach. Learn. Res., 2017

Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits.

Lisha Li, Kevin G. Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

CoRR, 2016

Where to Sell: Simulating Auctions From Learning Algorithms.

Hamid Nazerzadeh, Renato Paes Leme, Afshin Rostamizadeh, Umar Syed

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Greedy Column Subset Selection: New Bounds and Distributed Algorithms.

Jason M. Altschuler, Aditya Bhaskara, Gang Fu, Vahab S. Mirrokni, Afshin Rostamizadeh, Morteza Zadimoghaddam

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Foundations of Coupled Nonlinear Dimensionality Reduction.

Dmitry Storcheus, Mehryar Mohri, Afshin Rostamizadeh

CoRR, 2015

An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode.

Krzysztof Choromanski, Afshin Rostamizadeh, Umar Syed

CoRR, 2015

A Survey of Modern Questions and Challenges in Feature Extraction.

Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Generalization Bounds for Supervised Dimensionality Reduction.

Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model.

Krzysztof Marcin Choromanski, Afshin Rostamizadeh, Umar Syed

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Applying WebTables in Practice.

Sreeram Balakrishnan, Alon Y. Halevy, Boulos Harb, Hongrae Lee, Jayant Madhavan, Afshin Rostamizadeh, Warren Shen, Kenneth Wilder, Fei Wu, Cong Yu

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

Scalable and Interpretable Data Representation for High-Dimensional, Complex Data.

Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Repeated Contextual Auctions with Strategic Buyers.

Kareem Amin, Afshin Rostamizadeh, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Corporate learning at scale: lessons from a large online course at google.

Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

2013

Perceptron Mistake Bounds

Mehryar Mohri, Afshin Rostamizadeh

CoRR, 2013

Learning Prices for Repeated Auctions with Strategic Buyers.

Kareem Amin, Afshin Rostamizadeh, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multi-Class Classification with Maximum Margin Multiple Kernel.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Algorithms for Learning Kernels Based on Centered Alignment.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

J. Mach. Learn. Res., 2012

Foundations of Machine Learning.

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-01825-8, 2012

2011

Online and Batch Learning Algorithms for Data with Missing Features

Afshin Rostamizadeh, Alekh Agarwal, Peter L. Bartlett

CoRR, 2011

Learning with Missing Features.

Afshin Rostamizadeh, Alekh Agarwal, Peter L. Bartlett

Proceedings of the UAI 2011, 2011

Ensembles of Kernel Predictors.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the UAI 2011, 2011

2010

Theoretical Foundations and Algorithms for Learning with Multiple Kernels.

Afshin Rostamizadeh

PhD thesis, 2010

Stability Bounds for Stationary phi-mixing and beta-mixing Processes.

Mehryar Mohri, Afshin Rostamizadeh

J. Mach. Learn. Res., 2010

Matrix Coherence and the Nystrom Method.

Ameet Talwalkar, Afshin Rostamizadeh

Proceedings of the UAI 2010, 2010

Generalization Bounds for Learning Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Two-Stage Learning Kernel Algorithms.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

New Generalization Bounds for Learning Kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

CoRR, 2009

Multiple Source Adaptation and the Rényi Divergence.

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the UAI 2009, 2009

L2 Regularization for Learning Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the UAI 2009, 2009

Learning Non-Linear Combinations of Kernels.

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Domain Adaptation: Learning Bounds and Algorithms.

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the COLT 2009, 2009

2008

Stability Bound for Stationary Phi-mixing and Beta-mixing Processes

Mehryar Mohri, Afshin Rostamizadeh

CoRR, 2008

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

Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Domain Adaptation with Multiple Sources.

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Sample Selection Bias Correction Theory.

Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh

Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007

Stability Bounds for Non-i.i.d. Processes.

Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Balancing traffic load in wireless networks with curveball routing.

Lucian Popa, Afshin Rostamizadeh, Richard M. Karp, Christos H. Papadimitriou, Ion Stoica

Proceedings of the 8th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2007