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Optimization Problems for Machine Learning: A Survey

16 January 2019

Papers citing "Optimization Problems for Machine Learning: A Survey"

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Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 301 30,157 0 01 Mar 2022
Optimal randomized classification trees R. Blanquero E. Carrizosa Antonios Tsourdos Dolores Romero Morales 225 47 0 19 Oct 2021
Sparsity in Optimal Randomized Classification Trees R. Blanquero E. Carrizosa Cristina Molero-Río Dolores Romero Morales 88 46 0 21 Feb 2020
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 85 259 0 04 May 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 205 50 0 29 Jan 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 157 1,398 0 15 Nov 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 89 40 0 08 Oct 2018
Data Poisoning Attacks against Online Learning Yizhen Wang Kamalika Chaudhuri AAML 73 93 0 27 Aug 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 91 460 0 03 Jul 2018
Deep learning in business analytics and operations research: Models, applications and managerial implications Mathias Kraus Stefan Feuerriegel A. Oztekin 77 293 0 28 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 183 732 0 13 Jun 2018
Automated Verification of Neural Networks: Advances, Challenges and Perspectives Francesco Leofante Nina Narodytska Luca Pulina A. Tacchella AAML 64 70 0 25 May 2018
Learning More Robust Features with Adversarial Training Shuangtao Li Yuanke Chen Yanlin Peng Lin Bai OOD AAML 66 23 0 20 Apr 2018
An Overview of Machine Teaching Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty 94 178 0 18 Jan 2018
Theory of Deep Learning III: explaining the non-overfitting puzzle T. Poggio Kenji Kawaguchi Q. Liao Brando Miranda Lorenzo Rosasco Xavier Boix Jack Hidary H. Mhaskar ODL 81 128 0 30 Dec 2017
Bounding and Counting Linear Regions of Deep Neural Networks Thiago Serra Christian Tjandraatmadja Srikumar Ramalingam MLT 70 251 0 06 Nov 2017
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks Tengyuan Liang T. Poggio Alexander Rakhlin J. Stokes 85 226 0 05 Nov 2017
Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions Dimitris Bertsimas Bart P. G. Van Parys 175 158 0 28 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 163 2,160 0 21 Aug 2017
Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso Trevor Hastie Robert Tibshirani Ryan J. Tibshirani 133 205 0 27 Jul 2017
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning Frank E. Curtis K. Scheinberg 95 45 0 30 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 321 12,151 0 19 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 142 759 0 09 Jun 2017
Optimization of Tree Ensembles V. Mišić 119 103 0 30 May 2017
An effective algorithm for hyperparameter optimization of neural networks G. I. Diaz Achille Fokoue G. Nannicini Horst Samulowitz 56 158 0 23 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 185 2,731 0 19 May 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks Rüdiger Ehlers 125 626 0 03 May 2017
Maximum Resilience of Artificial Neural Networks Chih-Hong Cheng Georg Nührenberg Harald Ruess AAML 143 284 0 28 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 420 3,824 0 28 Feb 2017
Activation Ensembles for Deep Neural Networks Mark Harmon Diego Klabjan 179 35 0 24 Feb 2017
EMNIST: an extension of MNIST to handwritten letters Gregory Cohen Saeed Afshar J. Tapson André van Schaik 83 722 0 17 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 329 1,875 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 484 3,148 0 04 Nov 2016
Sparse principal component regression for generalized linear models Shuichi Kawano Hironori Fujisawa Toyoyuki Takada T. Shiroishi 44 26 0 28 Sep 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,593 0 16 Aug 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 261 24 0 15 Jun 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 104 424 0 24 May 2016
The Teaching Dimension of Linear Learners Ji Liu Xiaojin Zhu 75 66 0 07 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 225 2,994 0 02 Nov 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 466 665 0 11 Jul 2015
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning Maxime Gasse A. Aussem H. Elghazel 86 89 0 18 Jun 2015
Generalized Additive Model Selection Alexandra Chouldechova Trevor Hastie 82 81 0 11 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 355 18,661 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 235 476 0 21 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples S. Gu Luca Rigazio AAML 89 845 0 11 Dec 2014
Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning Pierre Baldi Peter Sadowski D. Whiteson 77 94 0 13 Oct 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014