Statistics

Authors and titles for April 2019

[1001] arXiv:1904.09948 (cross-list from cs.LG) [pdf, other]

Title: PLUME: Polyhedral Learning Using Mixture of Experts

Kulin Shah, P. S. Sastry, Naresh Manwani

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1002] arXiv:1904.09981 (cross-list from cs.LG) [pdf, other]

Title: GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1003] arXiv:1904.10030 (cross-list from eess.IV) [pdf, other]

Title: Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

Davood Karimi, Septimiu E. Salcudean

Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1004] arXiv:1904.10040 (cross-list from cs.LG) [pdf, other]

Title: A Survey on Practical Applications of Multi-Armed and Contextual Bandits

Djallel Bouneffouf, Irina Rish

Comments: under review by IJCAI 2019 Survey

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1005] arXiv:1904.10059 (cross-list from cs.LG) [pdf, other]

Title: Distributed Differentially Private Computation of Functions with Correlated Noise

Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate

Comments: The manuscript is partially subsumed by arXiv:1910.12913

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1006] arXiv:1904.10079 (cross-list from cs.LG) [pdf, other]

Title: The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang

Comments: accepted at NeurIPS 2019, 28 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1007] arXiv:1904.10090 (cross-list from cs.LG) [pdf, other]

Title: Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version

Erwan Lecarpentier, Emmanuel Rachelson

Comments: Published at NeurIPS 2019, 17 pages, 3 figures

Journal-ref: year: 2019; page range: 7214--7223

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1008] arXiv:1904.10098 (cross-list from cs.LG) [pdf, other]

Title: DAG-GNN: DAG Structure Learning with Graph Neural Networks

Yue Yu, Jie Chen, Tian Gao, Mo Yu

Comments: ICML2019. Code is available at this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1009] arXiv:1904.10100 (cross-list from cs.LG) [pdf, other]

Title: Multiview Hessian Regularization for Image Annotation

Weifeng Liu, Dacheng Tao

Journal-ref: IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2676 - 2687, 2013

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1010] arXiv:1904.10112 (cross-list from cs.LG) [pdf, other]

Title: Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure

Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[1011] arXiv:1904.10120 (cross-list from cs.LG) [pdf, other]

Title: Semi-Cyclic Stochastic Gradient Descent

Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1012] arXiv:1904.10122 (cross-list from cs.LG) [pdf, other]

Title: Bounds in Query Learning

Hunter Chase, James Freitag

Subjects: Machine Learning (cs.LG); Logic (math.LO); Machine Learning (stat.ML)

[1013] arXiv:1904.10126 (cross-list from cs.CV) [pdf, other]

Title: Lung Nodule Classification using Deep Local-Global Networks

Mundher Al-Shabi, Boon Leong Lan, Wai Yee Chan, Kwan-Hoong Ng, Maxine Tan

Comments: Code and dataset available here this https URL

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1014] arXiv:1904.10130 (cross-list from cs.LG) [pdf, other]

Title: Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention

John Brandt

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1015] arXiv:1904.10146 (cross-list from cs.LG) [pdf, other]

Title: Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification

Xiang Gao, Wei Hu, Zongming Guo

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1016] arXiv:1904.10155 (cross-list from cs.LG) [pdf, other]

Title: Learning Feature Sparse Principal Components

Lai Tian, Feiping Nie, Xuelong Li

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1017] arXiv:1904.10165 (cross-list from cs.LG) [pdf, other]

Title: T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis

Tao Li, Jinwen Ma

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[1018] arXiv:1904.10171 (cross-list from cs.RO) [pdf, other]

Title: Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning

Tianyu Shi, Pin Wang, Xuxin Cheng, Ching-Yao Chan, Ding Huang

Comments: This Paper has been submitted to ITSC 2019

Subjects: Robotics (cs.RO); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1019] arXiv:1904.10182 (cross-list from q-fin.ST) [pdf, other]

Title: Copula estimation for nonsynchronous financial data

Arnab Chakrabarti, Rituparna Sen

Journal-ref: 2022 Sankhya B, 85 (Suppl 1): 116-149

Subjects: Statistical Finance (q-fin.ST); Applications (stat.AP)

[1020] arXiv:1904.10255 (cross-list from cs.LG) [pdf, other]

Title: End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets

Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan

Comments: 5 pages, 3 Figures, Appendix, IEEE BHI 2019

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Signal Processing (eess.SP); Machine Learning (stat.ML)

[1021] arXiv:1904.10261 (cross-list from cs.LG) [pdf, other]

Title: Improving benchmarks for autonomous vehicles testing using synthetically generated images

Aleksander Lukashou

Comments: 4 pages, 38 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO); Machine Learning (stat.ML)

[1022] arXiv:1904.10281 (cross-list from cs.LG) [pdf, other]

Title: Quaternion Knowledge Graph Embeddings

Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

Comments: Accepted by NeurIPS 2019

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[1023] arXiv:1904.10294 (cross-list from cs.LG) [pdf, other]

Title: Wasserstein-Fisher-Rao Document Distance

Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[1024] arXiv:1904.10353 (cross-list from cs.LG) [pdf, other]

Title: Read classification using semi-supervised deep learning

Tomislav Šebrek, Jan Tomljanović, Josip Krapac, Mile Šikić

Comments: 2nd International Workshop on Deep Learning for Precision Medicine, ECML-PKDD, 2017, Skopje, Nothern Macedonia

Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN); Machine Learning (stat.ML)

[1025] arXiv:1904.10359 (cross-list from cs.LG) [pdf, other]

Title: Identifying cross country skiing techniques using power meters in ski poles

Moa Johansson, Marie Korneliusson, Nickey Lizbat Lawrence

Comments: Presented at the Norwegian Artificial Intelligence Symposium 2019

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1026] arXiv:1904.10367 (cross-list from cs.IR) [pdf, other]

Title: Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks

Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha

Comments: 20 pgs. Published at IEEE Access, Volume 7, 2019. this https URL

Journal-ref: IEEE Access 7 (2019): 169185-169203

Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1027] arXiv:1904.10387 (cross-list from cs.LG) [pdf, other]

Title: Learning relevant features for statistical inference

Cédric Bény

Comments: Changes resulting from ICLR2020 submission and review. The presentation now accounts for the close connection to previous work on deep CCA

Subjects: Machine Learning (cs.LG); Quantum Physics (quant-ph); Machine Learning (stat.ML)

[1028] arXiv:1904.10398 (cross-list from q-bio.TO) [pdf, other]

Title: Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery

Rafael S. de Souza, Gary S. Berger

Comments: Accepted for publication at Statistical Methods in Medical Research

Subjects: Tissues and Organs (q-bio.TO); Applications (stat.AP)

[1029] arXiv:1904.10400 (cross-list from cs.NE) [pdf, other]

Title: Efficient single input-output layer spiking neural classifier with time-varying weight model

Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram

Comments: 8 pages, 2 figures

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG); Machine Learning (stat.ML)

[1030] arXiv:1904.10446 (cross-list from cs.LG) [pdf, other]

Title: Generated Loss, Augmented Training, and Multiscale VAE

Jason Chou, Gautam Hathi

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1031] arXiv:1904.10450 (cross-list from cs.LG) [pdf, other]

Title: Latent Variable Algorithms for Multimodal Learning and Sensor Fusion

Lijiang Guo

Subjects: Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[1032] arXiv:1904.10495 (cross-list from math.PR) [pdf, other]

Title: On laws exhibiting universal ordering under stochastic restart

Matija Vidmar

Subjects: Probability (math.PR); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an)

[1033] arXiv:1904.10509 (cross-list from cs.LG) [pdf, other]

Title: Generating Long Sequences with Sparse Transformers

Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1034] arXiv:1904.10522 (cross-list from cs.LG) [pdf, other]

Title: Block-distributed Gradient Boosted Trees

Theodore Vasiloudis, Hyunsu Cho, Henrik Boström

Comments: SIGIR 2019

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Machine Learning (stat.ML)

[1035] arXiv:1904.10551 (cross-list from cs.LG) [pdf, other]

Title: CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification

Arjun Pakrashi, Brian Mac Namee

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1036] arXiv:1904.10552 (cross-list from cs.LG) [pdf, other]

Title: ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter

Arjun Pakrashi, Brian Mac Namee

Journal-ref: SN COMPUT. SCI. 4, 821 (2023)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1037] arXiv:1904.10554 (cross-list from cs.LG) [pdf, other]

Title: Deep Q-Learning for Nash Equilibria: Nash-DQN

Philippe Casgrain, Brian Ning, Sebastian Jaimungal

Comments: 15 pages, 3 figures

Subjects: Machine Learning (cs.LG); Computer Science and Game Theory (cs.GT); Computational Finance (q-fin.CP); Machine Learning (stat.ML)

[1038] arXiv:1904.10573 (cross-list from cs.LG) [pdf, other]

Title: Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning

Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Rieffel

Journal-ref: Quantum Machine Intelligence 3:19 (2021)

Subjects: Machine Learning (cs.LG); Quantum Physics (quant-ph); Machine Learning (stat.ML)

[1039] arXiv:1904.10574 (cross-list from cs.LG) [pdf, other]

Title: Integer Programming for Learning Directed Acyclic Graphs from Continuous Data

Hasan Manzour, Simge Küçükyavuz, Ali Shojaie

Subjects: Machine Learning (cs.LG); Discrete Mathematics (cs.DM); Machine Learning (stat.ML)

[1040] arXiv:1904.10584 (cross-list from cs.SD) [pdf, other]

Title: Realizing Petabyte Scale Acoustic Modeling

Sree Hari Krishnan Parthasarathi, Nitin Sivakrishnan, Pranav Ladkat, Nikko Strom

Comments: 2156-3357 ©2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See this http URL standards/publications/rights/index.html for more information

Subjects: Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[1041] arXiv:1904.10616 (cross-list from cs.LG) [pdf, other]

Title: Design Automation for Efficient Deep Learning Computing

Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1042] arXiv:1904.10631 (cross-list from cs.LG) [pdf, other]

Title: Low-Memory Neural Network Training: A Technical Report

Nimit S. Sohoni, Christopher R. Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré

Comments: Version notes: Copyedits and citation fixes

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1043] arXiv:1904.10632 (cross-list from cs.LG) [pdf, other]

Title: Maximum Entropy Based Significance of Itemsets

Nikolaj Tatti

Comments: Journal version. The previous version is the conference paper

Subjects: Machine Learning (cs.LG); Databases (cs.DB); Machine Learning (stat.ML)

[1044] arXiv:1904.10639 (cross-list from math.OC) [pdf, other]

Title: Efficient Simulation Budget Allocation for Subset Selection Using Regression Metamodels

Fei Gao, Zhongshun Shi, Siyang Gao, Hui Xiao

Subjects: Optimization and Control (math.OC); Methodology (stat.ME)

[1045] arXiv:1904.10642 (cross-list from cs.LG) [pdf, other]

Title: Towards Combining On-Off-Policy Methods for Real-World Applications

Kai-Chun Hu, Chen-Huan Pi, Ting Han Wei, I-Chen Wu, Stone Cheng, Yi-Wei Dai, Wei-Yuan Ye

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1046] arXiv:1904.10644 (cross-list from cs.LG) [pdf, other]

Title: Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients

Yu Chen, Tom Diethe, Neil Lawrence

Journal-ref: Continual Learning Workshop of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[1047] arXiv:1904.10653 (cross-list from cs.LG) [pdf, other]

Title: Stochastic Lipschitz Q-Learning

Xu Zhu

Comments: The papers have been removed and we refer the readers to arXiv:1901.09277. arXiv admin note: author list truncated

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC); Machine Learning (stat.ML)

[1048] arXiv:1904.10683 (cross-list from cs.LG) [pdf, other]

Title: Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning

Peng Xu, Zhaohong Deng, Chen Cui, Te Zhang, Kup-Sze Choi, Gu Suhang, Jun Wang, ShiTong Wang

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1049] arXiv:1904.10689 (cross-list from cs.LG) [pdf, other]

Title: Layer Dynamics of Linearised Neural Nets

Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[1050] arXiv:1904.10717 (cross-list from cs.LG) [pdf, other]

Title: Generating Token-Level Explanations for Natural Language Inference

James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

Comments: Accepted at NAACL2019

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)