ICML

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects

Cuauhtemoc Lopez-Martin, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan

Comments 6 pages, accepted at Special Session: ML for Predictive Models in Eng. Applications at the 17th IEEE International Conference on Machine Learning and Applications, 17th IEEE ICMLA 2018

Supervised Transfer Learning for Product Information Question Answering

Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li

Comments 2018 17th IEEE International Conference on Machine Learning and Applications

Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation

Sangwook Park, David K. Han, Hanseok Ko

Comments This paper has been revised from our previous manuscripts as following reviewer's comments in ICML, NIP, and IEEE TSP

Convergent Tree Backup and Retrace with Function Approximation

Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent

Journal ref ICML 2018, Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4955-4964, 2018

On Minimum Discrepancy Estimation for Deep Domain Adaptation

Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan

Comments Accepted in Joint IJCAI/ECAI/AAMAS/ICML 2018 Workshop

Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks

Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa

Comments 8 pages, 7 figures, 6 tables, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)

A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression

Joel Jaskari, Jyri J. Kivinen

Comments The first version [v1] contains our paper submitted (on 9 February, 2018) to and later rejected from the Thirty-Fifth International Conference on Machine Learning (ICML 2018); earlier version of the paper was submitted (on 13 October, 2017 [UTC]) to and later rejected from the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points

Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtemoc Lopez-Martin

Comments Accepted at the 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018

Coordinated Exploration in Concurrent Reinforcement Learning

Maria Dimakopoulou, Benjamin Van Roy

Journal ref Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, pages 1271-1279, Stockholmsmässan, Stockholm Sweden, 10-15 Jul 2018

Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits

Huasen Wu, Xueying Guo, Xin Liu

Comments In Proceedings of the 35th International Conference on Machine Learning (ICML), 2018, pp. 5306-5314, Stockholmsmässan, Stockholm Sweden, ICML 2018. (PMLR 80:5306-5314)

Planning in Dynamic Environments with Conditional Autoregressive Models

Johanna Hansen, Kyle Kastner, Aaron Courville, Gregory Dudek

Comments 6 pages, 1 figure, in Proceedings of the Prediction and Generative Modeling in Reinforcement Learning Workshop at the International Conference on Machine Learning (ICML) in 2018

Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration

Soham De, Anirbit Mukherjee, Enayat Ullah

Comments Presented on 14th July 2018 at the ICML Workshop on Modern Trends in Nonconvex Optimization for Machine Learning. In this version, we have made changes to the setup of our Theorem 3.1, and added additional experimental results

Harmonic Recomposition using Conditional Autoregressive Modeling

Kyle Kastner, Rithesh Kumar, Tim Cooijmans, Aaron Courville

Comments 3 pages, 2 figures. In Proceedings of The Joint Workshop on Machine Learning for Music, ICML 2018

The Mirage of Action-Dependent Baselines in Reinforcement Learning

George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani, Sergey Levine

Comments Updated to ICML final submission

Anomaly Detection using Deep Learning based Image Completion

Matthias Haselmann, Dieter P. Gruber, Paul Tabatabai

Comments 6 pages, 5 figures, Accepted for publication by IEEE, 17th International Conference on Machine Learning and Applications (ICMLA) 2018

Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models

Jean Honorio

Comments ICML2012

Journal ref International Conference on Machine Learning (ICML), 2012

CURE-OR: Challenging Unreal and Real Environments for Object Recognition

Dogancan Temel, Jinsol Lee, Ghassan AlRegib

Comments 8 pages, 7 figures, 4 tables

Journal ref D. Temel, J. Lee, and G. AlRegib, "CURE-OR: Challenging unreal and real environments for object recognition," 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Orlando, Florida, USA, 2018

The Goldilocks zone: Towards better understanding of neural network loss landscapes

Stanislav Fort, Adam Scherlis

Comments 8 pages, 15 figures. Accepted for publication at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). A subset of the paper accepted at Modern Trends in Nonconvex Optimization for Machine Learning workshop at the 35th International Conference on Machine Learning (ICML 2018), and BayLearn 2018

On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

Risi Kondor, Shubhendu Trivedi

Comments Final version that appeared in the proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden

Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision

Franklin Abodo, Robert Rittmuller, Brian Sumner, Andrew Berthaume

Comments IEEE 17th International Conference on Machine Learning and Applications (ICMLA 2018), 3 figures, 1 table, 2 algorithms

Parallel Attention Mechanisms in Neural Machine Translation

Julian Richard Medina, Jugal Kalita

Comments ICMLA 2018, 6 pages

Journal ref 17th IEEE International Conference on Machine Learning and Applications 2018

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection

Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael Friedlander, Hoyt Koepke

Comments ICML 2015. v2: Updated the Gauss-Southwell-q result in Section 8 and Appendix H, to remove the part depending on mu_1 (the proof had an error). Added Section 8.1, which discusses conditions under which a rate depending on mu_1 does hold

Regret Minimization for Partially Observable Deep Reinforcement Learning

Peter Jin, Kurt Keutzer, Sergey Levine

Comments ICML 2018

Preprocessor Selection for Machine Learning Pipelines

Brandon Schoenfeld, Christophe Giraud-Carrier, Mason Poggemann, Jarom Christensen, Kevin Seppi

Comments Accepted at the ICML 2018 AutoML Workshop

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic

Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl

Comments Proc. of the 10th International Workshop on Agents in Traffic and Transportation (ATT 2018), co-located with ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018)

Journal ref CEUR Workshop Proceedings 2018

Transformation Autoregressive Networks

Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

Journal ref ICML 2018

Addressing Function Approximation Error in Actor-Critic Methods

Scott Fujimoto, Herke van Hoof, David Meger

Comments Accepted at ICML 2018

Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

Shuai Zhao, Manoop Talasila, Guy Jacobson, Cristian Borcea, Syed Anwar Aftab, John F Murray

Comments ICMLA 2018: International Conference on Machine Learning and Applications

Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced

Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen, Matthew Peveler, Biplav Srivastava, Kartik Talamadupula

Comments FAIM Workshop on Architectures And Evaluation For Generality, Autonomy & Progress in AI July 15, 2018, Stockholm, Sweden, 1st International Workshop Held In Conjunction With IJCAI-ECAI 2018, Aamas 2018 and ICML 2018

Internal Model from Observations for Reward Shaping

Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta

Comments 7 pages, 6 figures, ICML workshop (ALA 2018)