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

Oct 11, 2020
Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh

* 27 pages, 7 figures 

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An Analysis of SVD for Deep Rotation Estimation

Jun 25, 2020
Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia


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Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels

Dec 03, 2019
Shuang Song, David Berthelot, Afshin Rostamizadeh


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

Jun 28, 2019
Jean-François Kagy, Tolga Kayadelen, Ji Ma, Afshin Rostamizadeh, Jana Strnadova

* Presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros 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 Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Categorical Feature Compression via Submodular Optimization

Apr 30, 2019
MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh

* Accepted to ICML 2019. Authors are listed in alphabetical order 

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Massively Parallel Hyperparameter Tuning

Oct 17, 2018
Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

* Corrected typo in Algorithm 1 

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The Sparse Recovery Autoencoder

Jul 05, 2018
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

* 23 pages, 8 figures 

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Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Jun 18, 2018
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar

* Journal of Machine Learning Research 18 (2018) 1-52 
* Changes: - Updated to JMLR version 

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Foundations of Coupled Nonlinear Dimensionality Reduction

Nov 25, 2015
Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus

* 12 pages, 3 figures, authors in alphabetical order 

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Matrix Coherence and the Nystrom Method

Aug 09, 2014
Ameet Talwalkar, Afshin Rostamizadeh

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Algorithms for Learning Kernels Based on Centered Alignment

Apr 08, 2014
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

* Journal of Machine Learning Research 13 (2012) 795-828 

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Learning Prices for Repeated Auctions with Strategic Buyers

Nov 26, 2013
Kareem Amin, Afshin Rostamizadeh, Umar Syed

* Neural Information Processing Systems (NIPS 2013) 

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Perceptron Mistake Bounds

Jul 23, 2013
Mehryar Mohri, Afshin Rostamizadeh


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Multiple Source Adaptation and the Renyi Divergence

May 09, 2012
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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L2 Regularization for Learning Kernels

May 09, 2012
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Ensembles of Kernel Predictors

Feb 14, 2012
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh


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Online and Batch Learning Algorithms for Data with Missing Features

Jun 16, 2011
Afshin Rostamizadeh, Alekh Agarwal, Peter Bartlett

* 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011) 

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New Generalization Bounds for Learning Kernels

Dec 17, 2009
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh


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Domain Adaptation: Learning Bounds and Algorithms

Feb 23, 2009
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

* 12 pages, 4 figures 

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

Nov 11, 2008
Mehryar Mohri, Afshin Rostamizadeh

* 23 pages, 1 figure, submitted to JMLR 

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Sample Selection Bias Correction Theory

May 19, 2008
Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh

* 16 pages 

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