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Kevin Jamieson
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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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Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning


Mar 12, 2019
Liam Li, Evan Sparks, Kevin Jamieson, Ameet Talwalkar

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Pure-Exploration for Infinite-Armed Bandits with General Arm Reservoirs


Nov 15, 2018
Maryam Aziz, Kevin Jamieson, Javed Aslam

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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

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* Corrected typo in Algorithm 1 
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A Bandit Approach to Multiple Testing with False Discovery Control


Sep 06, 2018
Kevin Jamieson, Lalit Jain

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Adaptive Sampling for Convex Regression


Aug 26, 2018
Max Simchowitz, Kevin Jamieson, Jordan W. Suchow, Thomas L. Griffiths

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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

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* Journal of Machine Learning Research 18 (2018) 1-52 
 * Changes: - Updated to JMLR version 
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Open Loop Hyperparameter Optimization and Determinantal Point Processes


Feb 14, 2018
Jesse Dodge, Kevin Jamieson, Noah A. Smith

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A framework for Multi-A(rmed)/B(andit) testing with online FDR control


Nov 18, 2017
Fanny Yang, Aaditya Ramdas, Kevin Jamieson, Martin J. Wainwright

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* Published as a conference paper at NIPS 2017 
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