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Carlos Guestrin

Carnegie Mellon University

Learning Neural Network Subspaces


Feb 20, 2021
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari


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AdaScale SGD: A User-Friendly Algorithm for Distributed Training


Jul 09, 2020
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin

* ICML 2020 

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Set Distribution Networks: a Generative Model for Sets of Images


Jun 18, 2020
Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Carlos Guestrin, Josh M. Susskind


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Equivariant Neural Rendering


Jun 13, 2020
Emilien Dupont, Miguel Angel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh Susskind, Qi Shan

* ICML 2020 camera ready 

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Beyond Accuracy: Behavioral Testing of NLP models with CheckList


May 08, 2020
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

* Association for Computational Linguistics (ACL), 2020 

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Adversarial Fisher Vectors for Unsupervised Representation Learning


Oct 29, 2019
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind

* Accepted as spotlight presentation to NeurIPS 2019 

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Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment


May 15, 2019
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Shih-Yu Sun, Carlos Guestrin, Josh Susskind

* Accepted to ICML 2019 

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Learning to Optimize Tensor Programs


Oct 27, 2018
Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* NIPS 2018 

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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning


Oct 05, 2018
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* Significantly improved version, add automated optimization 

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A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems


Jul 20, 2018
Tyler B. Johnson, Carlos Guestrin


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VTA: An Open Hardware-Software Stack for Deep Learning


Jul 11, 2018
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

* 16 pages, 2 reference pages, 16 figures 

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Compact Factorization of Matrices Using Generalized Round-Rank


May 01, 2018
Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh


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Programs as Black-Box Explanations


Nov 22, 2016
Sameer Singh, Marco Tulio Ribeiro, Carlos Guestrin

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance


Nov 17, 2016
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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"Why Should I Trust You?": Explaining the Predictions of Any Classifier


Aug 09, 2016
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin


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Model-Agnostic Interpretability of Machine Learning


Jun 16, 2016
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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XGBoost: A Scalable Tree Boosting System


Jun 10, 2016
Tianqi Chen, Carlos Guestrin

* KDD'16 changed all figures to type1 

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Scaling Submodular Maximization via Pruned Submodularity Graphs


Jun 01, 2016
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff Bilmes, Carlos Guestrin


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Training Deep Nets with Sublinear Memory Cost


Apr 22, 2016
Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin


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Divide-and-Conquer Learning by Anchoring a Conical Hull


Jun 22, 2014
Tianyi Zhou, Jeff Bilmes, Carlos Guestrin

* 26 pages, long version, in updating 

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Stochastic Gradient Hamiltonian Monte Carlo


May 12, 2014
Tianqi Chen, Emily B. Fox, Carlos Guestrin

* ICML 2014 version 

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Riffled Independence for Efficient Inference with Partial Rankings


Jan 23, 2014
Jonathan Huang, Ashish Kapoor, Carlos Guestrin

* Journal Of Artificial Intelligence Research, Volume 44, pages 491-532, 2012 
* arXiv admin note: text overlap with arXiv:1202.3734 

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Optimal Value of Information in Graphical Models


Jan 15, 2014
Andreas Krause, Carlos Guestrin

* Journal Of Artificial Intelligence Research, Volume 35, pages 557-591, 2009 

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Efficient Informative Sensing using Multiple Robots


Jan 15, 2014
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser

* Journal Of Artificial Intelligence Research, Volume 34, pages 707-755, 2009 

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Hierarchical Exploration for Accelerating Contextual Bandits


Jun 27, 2012
Yisong Yue, Sue Ann Hong, Carlos Guestrin

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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Distributed GraphLab: A Framework for Machine Learning in the Cloud


Apr 26, 2012
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

* Proceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 8, pp. 716-727 (2012) 
* VLDB2012 

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Concept Modeling with Superwords


Apr 11, 2012
Khalid El-Arini, Emily B. Fox, Carlos Guestrin


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GraphLab: A Distributed Framework for Machine Learning in the Cloud


Jul 05, 2011
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin

* CMU Tech Report, GraphLab project webpage: http://graphlab.org 

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Kernel Belief Propagation


May 27, 2011
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin

* In the Fourteenth International Conference on Artificial Intelligence and Statistics April 11-13, 2011 Ft. Lauderdale, FL, USA 

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Parallel Coordinate Descent for L1-Regularized Loss Minimization


May 26, 2011
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin

* In the 28th International Conference on Machine Learning, July 2011, Washington, USA 

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