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Exemplar Guided Active Learning

Nov 02, 2020
Jason Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz

* Published at NeurIPS 2020 

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PMI-Masking: Principled masking of correlated spans

Oct 05, 2020
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham


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Valid Causal Inference with (Some) Invalid Instruments

Jun 19, 2020
Jason Hartford, Victor Veitch, Dhanya Sridhar, Kevin Leyton-Brown


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Learning under Invariable Bayesian Safety

Jun 08, 2020
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz


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Smarter Parking: Using AI to Identify Parking Inefficiencies in Vancouver

Mar 21, 2020
Devon Graham, Satish Kumar Sarraf, Taylor Lundy, Ali MohammadMehr, Sara Uppal, Tae Yoon Lee, Hedayat Zarkoob, Scott Duke Kominers, Kevin Leyton-Brown

* All the authors contributed equally. This paper is an outcome of https://www.cs.ubc.ca/~kevinlb/teaching/cs532l%20-%202018-19/index.html. To be submitted to a journal in transportation or urban planning 

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Fiduciary Bandits

May 21, 2019
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz


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Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration

Feb 14, 2019
Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon Graham


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Deep Models of Interactions Across Sets

Jun 08, 2018
Jason Hartford, Devon R Graham, Kevin Leyton-Brown, Siamak Ravanbakhsh


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Deep Optimization for Spectrum Repacking

Jun 11, 2017
Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown


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Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates

Mar 30, 2017
Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown


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Counterfactual Prediction with Deep Instrumental Variables Networks

Dec 30, 2016
Jason Hartford, Greg Lewis, Kevin Leyton-Brown, Matt Taddy


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The Configurable SAT Solver Challenge (CSSC)

Aug 02, 2016
Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger Hoos, Kevin Leyton-Brown


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ASlib: A Benchmark Library for Algorithm Selection

Apr 06, 2016
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren

* Accepted to be published in Artificial Intelligence Journal 

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Computational Analysis of Perfect-Information Position Auctions

Aug 04, 2014
David R. M Thompson, Kevin Leyton-Brown


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Empirically Evaluating Multiagent Learning Algorithms

Jan 31, 2014
Erik Zawadzki, Asher Lipson, Kevin Leyton-Brown


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ParamILS: An Automatic Algorithm Configuration Framework

Jan 15, 2014
Frank Hutter, Thomas Stuetzle, Kevin Leyton-Brown, Holger H. Hoos

* Journal Of Artificial Intelligence Research, Volume 36, pages 267-306, 2009 

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Algorithm Runtime Prediction: Methods & Evaluation

Oct 26, 2013
Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown

* 51 pages, 13 figures, 8 tables. Added references, feature cost, and experiments with subsets of features; reworded Sections 1&2 

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Bayesian Optimization With Censored Response Data

Oct 07, 2013
Frank Hutter, Holger Hoos, Kevin Leyton-Brown

* Extended version of NIPS 2011 workshop paper 

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Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms

Mar 06, 2013
Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown

* 9 pages, 3 figures 

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Collusion in Unrepeated, First-Price Auctions with an Uncertain Number of Participants

Aug 23, 2012
Kevin Leyton-Brown, Moshe Tennenholtz, Navin Bhat, Yoav Shoham

* Updated the version originally submitted to Arxiv in 2002 

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Temporal Action-Graph Games: A New Representation for Dynamic Games

May 09, 2012
Albert Xin Jiang, Kevin Leyton-Brown, Avi Pfeffer

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

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SATzilla: Portfolio-based Algorithm Selection for SAT

Oct 31, 2011
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown

* Journal Of Artificial Intelligence Research, Volume 32, pages 565-606, 2008 

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